MUKESH KUMAR, CHAIRMAN, IT SUB COMMITTEE, BIHAR INDUSTRIES ASSOCIATION (BIA)

A   CONCEPT   ABOUT e- LEARNING

 

Definition of 'E-learning'

 

A learning system based on formalized teaching but with the help of electronic resources is known as E-learning. While teaching can be based in or out of the classrooms, the use of computers and the Internet forms the major component of E-learning. E-learning can also be termed as a network enabled transfer of skills and knowledge, and the delivery of education is made to a large number of recipients at the same or different times. Earlier, it was not accepted wholeheartedly as it was assumed that this system lacked the human element required in learning.

However, with the rapid progress in technology and the advancement in learning systems, it is now embraced by the masses. The introduction of computers was the basis of this revolution and with the passage of time, as we get hooked to smart phones, tablets, etc, these devices now have an importance place in the classrooms for learning. Books are gradually getting replaced by electronic educational materials like optical discs or pen drives. Knowledge can also be shared via the Internet, which is accessible 24/7, anywhere, anytime.

7 Important Characteristics Of Modern Learners e - Learning Professionals Should Know

 

Modern learners are ambitious. They know how to navigate their way around the virtual terrain, and they thrive in online social environments. But what do we really know about modern learners? More importantly, what are the traits that we should consider when creating online courses for this generation? In this article, you will find 7 important characteristics of modern learners that e - Learning professionals should have in mind when designing e - Learning courses for them.

 Important Characteristics Of Modern Learners 

Every modern learner is unique. Each may come from a different cultural and educational background, but there are also common characteristics that they tend to share. Knowing these characteristics can give e - Learning professionals the opportunity to turn e - Learning courses into customized e - Learning experiences. In this article, I’ll present 7 important characteristics of modern learners e - Learning professionals should have in mind when designing e - Learning courses for that particular audience.

  1. Easily distracted.

Modern learners have a lot on their proverbial plates. They are thinking about any number of things at one given time, making it easy to get distracted when they are trying to complete an online course. As e - Learning professionals, this can present quite a challenge. However, we can get over this trait hurdle by creating e - Learning courses that engage right from the start and hold it all throughout. Ask compelling questions that make them reflect upon the topic. Tell an emotional story that pulls at their heart strings or gets them fascinated about the subject matter. Integrate image and videos that evoke specific feelings, as well as characters with whom they can relate.

 2. Social learners.


Without a doubt, modern learners are more social than any previous generation. They spend a good portion of their day on social media networks, catching up with friends and reaching out to business contacts. In fact, in many respects, social networking has taken the place of face-to-face communication. Modern learners are more likely to post on a Face book page or respond to a tweet than make a call. This means that e - Learning experiences must be collaborative and social. To cater to your modern learning audience, you have to include online group projects and social learning online experiences via project management platforms and social media sites to adapt to the way students will learn.

 3. Crave constant knowledge.

This generation of learners demands information anytime and anywhere. If they want to learn more about a topic, they simply hop on their mobile or tablets and find out everything they need to know to satisfy their curiosity. While previous generations had to venture to the nearest library to expand their knowledge, now knowledge is always at the modern learners’ fingertips. In terms of eLearning, we can quench this constant craving for knowledge by giving them supplemental e - Learning resources that they can explore on their own. We can provide them with tutorials, walkthroughs that help them in their “moment of need”.

 4. Always on-the-go.

Your e - Learning course must be mobile-friendly. Your learners aren’t going to have the time to sit at home on their PCs and complete online modules on a regular basis, which means that you have to give them learning wherever they are. You can achieve this by choosing a Learning Management System that features a responsive design and automatically detects the learner’s device and offers the optimal display. However, you must also ensure that you don’t overload your learners by presenting too much information at once. Make it easily digestible by offering short bursts of information on a regular basis, such as five minute modules that each covers a specific sub-topic.

 Though they thrive in social learning environments, modern learners are also fiercely independent. They aren’t afraid to set out on their own to find the knowledge they need to achieve their goals, even if that means devoting all of their free time to the endeavor. If they aren’t finding the information they are looking for in their online course, then they will simply look elsewhere. They also search for learning experiences that give them control over the process, such as being able to choose when they complete the online modules and the nature of the e - Learning activity. For example, some may gravitate toward multimedia-based online courses while others may prefer interactive scenarios. As a result, e - Learning pros must design e - Learning courses that are customized for each learner by doing thorough audience research and providing many different types of e - Learning activities.

 The simple truth is that we live in a busy world where nobody really has the time or patience to sit through a lengthy e - Learning course. However, modern learners are particularly impatient. They are so used to getting information at a moment’s notice that you have to grab their attention and manage time effectively, or you run the risk of disengaging them. They know that there is an abundance of information just waiting for them on the internet, so they won’t waste their time with an online course that doesn’t cater to their needs.

 One of the most prevalent traits of modern learners is that they are overworked and overwhelmed. Many carry out a wide variety of job responsibilities, making it difficult to balance their home life with their careers. This means that they don’t have a great deal of energy or effort to devote to e Learning. They are also overwhelmed by the abundance of information that is online today. Give them time to take it all in and look for signs that your learners are actually absorbing the key ideas and able to retain them for future use.

While some modern learners may possess atypical characteristics, many will share these core traits. However, it’s always wise to carry out a detailed learner analysis before designing the e - Learning course, just to ensure that the needs of every individual are being considered.

Interested in learning more about how to engage modern learners? Read the article 10 Ways To Shake Up Your Online Classes to really change your student’s thinking by changing the routine way of teaching.

What Is the Purpose of eLearning?

 .E-learning (also called electronic learning) is any type of learning that takes place through or with a computer. E-learning is primarily facilitated through the Internet but can also be accomplished with CD-ROMs and DVDs, streaming audio or video and other media. The purpose of e-learning is to allow people to learn for personal accomplishment or to earn a professional degree, without physically attending a traditional university or academic setting. E-learning can be applied for all levels of schooling from grade school to graduate degrees, and is versatile enough to accommodate all learning styles.

Types

There are a number of types of e-learning that depend on the amount of physical interaction. Entirely online e-learning occurs without any face-to face interaction. Course work and materials are distributed electronically through email, websites, online forums and/or CDs or DVD-ROMs. Combined learning uses a combination of Internet-directed instruction, as well as face-to-face interaction. Most traditional colleges and universities use combined learning as students learn in physical classrooms, with instruction augmented by online lessons. For those learning for personal accomplishment, e-learning can also use a combination of e-learning types, as they can be entirely self-directed, or they can use the assistance of an expert in their selected field.

Location

Because the only requirements for e-learning (in most cases) requires a computer with Internet access or a CD/DVD-ROM drive, e-learning students can learn from home, libraries, Internet cafes or any other location that has Internet access. This is why e-learning is a preferred option for those who work full time or part time and cannot afford to travel to a physical school. The ease of location with e-learning also makes it preferable to stay-at-home parents with young or special-needs children. E-learning can also save money in that e-learners do not have to pay for gas, vehicle repair or parking validation if they choose to remain at home while taking courses online. Ease of location is also beneficial to students who are home-schooled, as they can gain social interaction through online communications as well as educational materials.

Pace

Another benefit to e-learning is that it is self-directed, meaning that the e-learner sets the pace of her learning. Unlike traditional methods of education, e-learning allows a student to pace her educational needs with her comfort level. This is especially true when a person chooses to use e-learning for personal accomplishment. For those seeking a professional degree, there may be requirements and course work that must be completed by a certain time, but these deadlines are usually more flexible than the requirements made at traditional learning institutions.

Drawbacks

The most controversial aspect of e-learning is for those who are seeking professional degrees. Some online learning institutions may not meet the academic standards set forth by private accreditation organizations. Accreditation standards are used to confirm a learning institution’s academic quality. This does not mean that an online institution that is not accredited has poor academic quality, but it can cause problems when an e-learner seeks to transfer credits from an online institution to a traditional educational facility. Another drawback to e-learning is that it can be difficult for individuals who are not primarily self-motivated. While self-directed learning has been appropriately praised for its versatility, it can be a trap for those who need the external motivations physical classrooms and instructors can provide.

Cost

E-learning has also been praised as a lower-cost option for those seeking additional education. Costs for individual classes and learning institutions vary depending on location, degree or type of program, and area of study. Online universities generally charge the same way traditional universities do, by charging per credit hour. But also like traditional universities, scholarships, grants, and student loans are available as well.

Building An Ongoing Learning Culture At Discovery

"Looop helps us to deliver everyday learning content to targeted audiences through an easy-to-use mobile-friendly platform. Looop is a key part of our future learning strategy".

 

How To Build An Ongoing Learning Culture—Discovery’s Challenge

This is what Jennifer Wrigley, the Learning and Development Manager in Discovery Communications has stated when asked about Looop. So, let's take a look at what Discovery's challenge was:

Engaging Learners with Fresh, Easy-To-Access Content

Home to more than 50 beloved network entertainment brands, reaching over 480 million viewers worldwide, Discovery Communications delivers some of the most captivating content on the air.

The company’s teams and assets have grown rapidly over the years, and staying agile has been critical to their continued success. But as Learning and Development Manager Jennifer Wrigley has experienced firsthand, keeping learning current for thousands of geographically dispersed employees is no easy task:

"We are a massively changing and growing company operating in really diverse markets. Learning and Development is important, but it’s difficult to do consistently and well across all those markets.

An internal audit highlighted that the company’s existing Learning Management System wasn’t meeting the needs. In particular, online learning engagement rates were low, and although Discovery’s LMS had thousands of resources available, learners found it difficult at times to surface the information they needed:

"Users were accessing the LMS once or twice a year. That’s not really learning, that’s just a reference tool. There is a lot of content on the LMS, but it’s hard to find what you need. For example, when there are 20 different articles on ‘How to be a Great Coach’, most people don’t know where to start".

Discovery also needed a means of keeping content current and relevant for international learners:

"On the LMS, some of the content is quite old, it’s not Discovery-specific and is Americanized in style, which isn’t as suitable for our diverse international audience".

As a result, the learning experience was a far cry from the engaging content Discovery brings excited viewers every day.

"We’re a media company. We need learning that looks good, works smoothly, and is fun and interesting".

Jennifer and her team needed to find a way to bring relevant content to learners on demand, anytime, anywhere—without rifling through a large database to find it.

Solutions

Targeted Resources And A Simple, Searchable System

Upon finding Looop, Jennifer was immediately drawn to their fresh, learner-focused approach. Her initial conversations with Looop’s team were also very encouraging:

"Looop was very keen to support us. David (Looop’s Chief Learning Strategist) is the ex-Director of Learning, Talent, and OD at Disney, so he gets it. He understands the challenges, and everything in terms of learning, development, and people making time for it".

Jennifer decided to use Discovery’s Global Mentorship Program as a pilot project:

"Once a year people apply to the program, and we match them with a mentor for 6 months. We thought this would be an ideal format to test Looop’s platform and approach to learning".

First, Jennifer worked with Looop to create relevant, targeted content for this unique set of learners, and was surprised at how involved Looop’s people were willing to be:

"We created our own content and combined this with external content to try and inspire both mentors and mantes, David even helped us with filming and editing our employees to create short videos for our learners. These videos were just filmed on an iPhone—we kept it really simple—but they are very engaging and effective".

To help users get plugged into Looop and excited about the system, an email campaign was created to promote specific resources.

After a few weeks, engagement had already surpassed Jennifer’s expectations:

"We found that the majority of our learners were exploring more content within Looop, not just the resources we promoted. Users were writing comments and creating conversations inside the platform—something we’d never had before".

Throughout the Global Mentorship Program, Jennifer appreciated how Loop’s team remained involved, interested, and responsive:

"Looop really cares about their product and their clients. They will spend time with me, helping me make resources more engaging and relevant. They listen to our feedback and implement our requests. They’re really invested in our relationship and us being successful".

Results

Increased Engagement, Decreased Cost, And Inspired Learners

It quickly became clear that Looop attained much higher levels of engagement than the previous LMS:

"Within a month, over 45% of our users had already accessed the system and the majority were accessing our learning content multiple times and reading multiple articles".

For the first time, learners were proactively accessing content not only because they needed to, but because they wanted to:

"We got feedback that those using it really enjoyed it. People told us that Looop was a huge improvement from the previous site, that it was easy to use and that the content was relevant".

Better yet, now that the content is tailored and relevant, learners are actively contributing and taking ownership over their own development:

"In the feedback, learners have even told us which content they wished they had, and we’ve been able to turn around and create it for them".

Looop also had a positive impact on Discovery’s bottom line:

"Looop is much cheaper than our old solution. With the old LMS we were paying for content that nobody wanted. But with Looop, we’re paying for resources people want and actually use, so it’s the right investment".

On the strength of the mentorship program’s success, Jennifer and her team are now creating tailored learning content for other groups within the company:

"We now have several other programs on the go for groups like people managers and our director".

As for the future, Jennifer is excited about the way her team is transforming Discovery’s learning culture into a learner-focused, everyday experience:

"We’ve taken steps forward on our journey to help people see that learning isn’t just about workshops, but that you can learn through your phone everyday by finding relevant content, articles, videos, and tips".

Jennifer is confident she’s found the right tool—and the right people—to come along for the journey:

"Looop is targeted learning that’s easy to access in an engaging format. It’s mobile friendly, it’s modern, and completely customisable by you".

Find out how Looop can help your business to achieve exceptional results through Learning and Development by speaking with our team of experts.

 

Machine Learning And Artificial Intelligence: The Future Of eLearning

 

That does the future hold for predictive analytics and iterative automation in eLearning? In this article, I’ll discuss the many advantages of Machine Learning and Artificial Intelligence. I’ll also explore how these tech-cetered strategies will transform the e - Learning industry as we know it.

 

 

The Role Of Machine Learning And Artificial Intelligence In The Future Of eLearning

It’s an exciting time in the world of eLearning. Technology is constantly evolving and adapting to boost everyday efficiency and make our lives easier. Modern tools give us the power to connect from around the globe and bridge gaps as soon as they appear. One such advancement is the rise of Machine Learning and Artificial Intelligence. Namely, their role in the future of eLearning. Predictions, algorithms, and analytics come together to create more personalized e - Learning experiences. But how exactly will Machine Learning and Artificial intelligence (AI) transform the e - Learning landscape in years to come? And how can you start preparing for monumental changes today?

What Is Machine Learning And Artificial Intelligence (AI)?

Before we dive into the forecast of Machine Learning and Artificial Intelligence (AI) in eLearning, let’s cover the basics of these tech-based approaches. First things first: Machine Learning is a sub-division of Artificial Intelligence. It involves algorithms that predict possible outcomes based on user data. The system identifies certain patterns and trends, then learns from the data in order to provide greater personalization. Every piece of new information that the program receives makes it more intuitive. The entire process takes place autonomously, from extracting and evaluating the data sets from the LMS to predicting what online learners need based on their past performance.

Today, there are two different types of Machine Learning frameworks: proprietary and open source. Both fall into the category of deep learning software. There are also various tools or hardware involved, ranging from tensor processing units developed by Google to vision processors that enable machine vision operations. In addition, you can already find a vast assortment of Machine Learning libraries, complete with algorithms that support specific programming languages

Machine Learning Classifications

Machine Learning includes algorithms that allow the system to predict future outcomes and detected patterns based on specific user data. Here are the 3 common algorithm classifications that are used in Machine Learning:

1. Supervised

The system uses past examples and new data sets to predict the outcomes. In this instance, the programmer must provide the system with inputs and outputs in order to train the software. Over time, the system can automatically construct outputs or targets for new data sets.

2. Unsupervised

Does not involve any labels or data classifications. The system evaluates data in order to identify patterns and make inferences or predictions. It’s not a matter of mapping the input to an output, but detecting more obscure trends or insights in the data set.  There is also a sub-set category known as “semi-supervised”, which combines unlabeled data and human-based training. For example, the programmer provides the system with labeled online resources in order to map out certain inputs and outputs with greater accuracy.

3. Reinforcement

This Machine Learning category includes a specific task or goal that the system must complete. Throughout the process, it receives feedback in order to learn the desired behaviors. For example, the system encounters an error while performing the action or a reward for achieving the most favorable outcome. Thus, the program is able to learn the most effective approach via “reinforcement signals”.

The Benefits Of Machine Learning And Artificial Intelligence (AI) In eLearning

There are a variety of benefits that Machine Learning and Artificial Intelligence (AI) can offer online learners of the future, as well as organizations who invest in modern LMS platforms that feature intuitive algorithms and automated delivery of e - Learning content. Here are just a few of the most notable advantages:

1. More Personalized e - Learning Content

Machine learning algorithms predict outcomes, which allow you to provide specific e - Learning content based on past performance and individual learning goals. For example, an online learner’s history reveals that they prefer tactile e - Learning activities. Thus, the system automatically adjusts their e - Learning course map to include more serious games and e - Learning simulations that are kinesthetic by nature. Likewise, online learners who exhibit a particular skill gap will receive targeted recommendations that build related talents and abilities. Thus, they are able to gradually gather the building blocks that the skill set requires. The system also delivers the e - Learning content in a more personalized format. For instance, it may skip several e - Learning modules for more advanced online learners or take a more comprehensive, linear approach for those who still lack basic knowledge.

2. Better Resource Allocation

There are actually two benefits relating to resource allocation. The first is that online learners receive the exact online resources they require to fill gaps and achieve their learning goals. In the corporate sector, this equates to less seat time and training payroll hours. Employees get the information they need more rapidly, as every online training resource is custom-tailored to their personal objectives. The second benefit is better resource allocation for your L&D team. They can spend less time analyzing graphs and LMS metrics, and more time developing powerful e - Learning content. The system takes care of the Big Data and allows your L&D team to spend their time and energy elsewhere.

3. Automate The Scheduling And Content Delivery Process

Many Machine Learning tasks involve behind the scenes work that are tedious and time-consuming, but crucial nonetheless. For example, scheduling coursework for online learners or delivering online resources based on their e - Learning assessment results or simulation performance. Artificial Intelligence (AI) may be able to take over these operations in the near future, making it possible to automatically generate unique e - Learning course maps for every online learner who enrolls in your e - Learning course. They can also readjust their e - Learning course immediately whenever the need arises.

4. Improve e - Learning ROI

Less online training time and greater personalization translates into a broader profit margin. You spend less on online training without sacrificing the desired outcomes thanks to predictive analytics and AI-equipped software that can track and forecast every move on an online learner. This also gives you the power to deploy your online training resources where and when they’re required. For example, more effective data gleaned from Machine Learning algorithms reveals hidden online training gaps. In response, you can funnel online training resources to address the inefficiencies and omit other areas of the online training program that are no longer relevant, instead of devoting online training resources to maintaining assets that aren’t resonating with online learners or supporting current objectives.

5. Improve Learner Motivation

Online learners receive an individualized experience instead of a generic e - Learning course that touches on irrelevant topics. Therefore, they don’t have to dedicate as much time to the online training process, but still accomplish their goals and build vital skills. This gives them the added motivation they need to engage with the e - Learning content and reach their potential. They are also able to go at their own pace and participate in e - Learning activities that resonate with them. The Machine Learning systems of the future can be likened to a private virtual tutor, offering them the coursework they need just when they need it.

6. Create More Effective Online Training Programs

These benefits result in more effective online training programs that take all factors into consideration, instead of only acting on one piece of criteria. For example, online assessment results or survey findings. The Machine Learning system offers a comprehensive overview of Big Data and uses it to predict the outcome. Therefore, you can intervene before it’s too late and offer every corporate learner new personalized online training opportunities. You can even use AI to make peer-to-peer interactions more productive. For instance, match mentors to online learners who can benefit from their specific skills or past experiences.

How Machine Learning And Artificial Intelligence Are Transforming The e - Learning Landscape

What if you could create e - Learning content and then let the system take care of the more tedious tasks, such as reviewing charts and statistics to detect hidden patterns? What if you could provide immediate personalized e - Learning feedback and steer online learners in the right direction without any human intervention? Machine Learning and Artificial Intelligence have the potential to automate the behind-the-scenes work that requires a significant amount of time and resources. In the future, AI can help you develop and deploy more meaningful e - Learning experiences that bridge undisclosed gaps.

The system will be able to predict every eventuality and desired outcome in a matter of seconds. Then deliver e - Learning content that caters to online learners’ individual needs, preferences, goals, and areas for improvement. It takes intuitive e - Learning design to a whole new level, as the system knows what an online learner requires even before they do. As such, you have the power to custom-tailor every aspect of the e - Learning program based on an online learner’s past performance, job description, and learning preferences.

4 Tips To Prepare For The Machine Learning Revolution

A complete Terminator-esque AI takeover is still a ways off. However, you can start preparing for Machine Learning integration today with these simple tips:

1. Research Available Tech Tools

A good place to start is to researching current LMS platforms and e - Learning tech tools to get a sense of modern Machine Learning integrations. For example, some e - Learning software already has algorithms and automation features built in. You can also evaluate the LMS your organization is using to gauge its tech limitations. Then look for add-ons or third-party software that can help you optimize its efficiency. Consider attending trade shows or conferences to get the latest scoop on Machine Learning tools and applications.

2. Collect Current Big Data

You don’t want to wait to collect data until Machine Learning and Artificial Intelligence becomes a full-fledged reality. In fact, you should already be collecting Big Data from all available sources, even if you aren’t currently using it in your online training strategy. There’s no way to tell which data will be useful when it’s time to incorporate algorithms and predictive analytics. Machine Learning systems require the complete picture, not just a snapshot of the last few days or weeks. Compile and organize data from your LMS, website, and social media pages, in addition to survey results and on-the-job observations. Store it safely for later use after you’ve identified the patterns and trends that are relevant for today’s online training content.

3. Be Realistic About Machine Learning’s Role In Your Online Training Strategy

It’s important to bear in mind that Machine Learning isn’t going to be the ultimate solution. Though it will probably be a powerful tool to maximize the power of Big Data, some degree of human interaction will still be required. At least until the robots fully takeover and we’re all able to ride off into the sunset in our flying cars. You should be realistic about how much will actually be automated by the system and the role that AI will play in your online training strategy. Identify your objectives and evaluate the current tasks your employees perform in order to maintain the system and evaluate data sets. Then figure out which operations can be managed by Machine Learning algorithms in the future.

4. Develop A Game Plan To Get A Head Start

It’s nearly impossible to create an exact timeline for when you’ll fully incorporate Machine Learning into your online training strategy. However, you can develop a rough game plan to stay one step ahead. For example, create an outline of the desired outcomes in order to identify Machine Learning applications in your organization, such as how it will help you reduce employee turnover or manage HR operations more effectively. You might also consider taking some courses in programming or Machine Learning algorithms, or reach out to experts in the field who can offer their assistance when the time comes.

Machine Learning and Artificial Intelligence are sure to play a prominent role in the future of eLearning. Especially given the numerous benefits they can bring to individual online learners and organizations. The secret is to stay one step ahead of the tech trends and evaluate your current e - Learning strategy to forecast AI applications. How can Machine Learning help you deliver learner-centered e - Learning content and streamline the data analysis process? What can you do to make way for the rise of Machine Learning and benefit from Big Data now?

There’s still some time before Machine Learning and Artificial Intelligence take over the analytics process entirely. Read the article 5 Types Of Big Data To Extract From Your LMS And How To Use It to discover the types of Big Data you can extract from your LMS today, and how to put it to good use to improve your e - Learning course design.

Machine Learning

A great selection of e - Learning articles for Machine Learning. Information, benefits, disadvantages, technologies and valuable resources for Machine Learning. Find out everything you need about Machine Learning into e - Learning Industry database.

 

 Augmented Reality In Aviation: Changing The Face Of The Sector Through Training And Simulated Experience

 

The successful adoption of Augmented Reality (AR) has come a long way the past few years, particularly as the global economy has grappled and the need to improve operational efficiency and safety training has increased.

 

Artificial Intelligence: Preparing Today For An Efficient Workforce Of Tomorrow

 

AI Chat bots In e-Learning: Trends Embracing Across Digital Landscape

  

How To Forecast, Identify And Incorporate 7 SQL Trends In 2018

 

Machine Learning Applications In Corporate eLearning

 

 

How ‘Deep’ Is Deep Learning?

 

Machine Learning And Artificial Intelligence: The Future Of eLearning

 

Survey Results - Impact Of AI/Machine Learning On Workforce Capability

 

 

Machine Learning Process And Scenarios

 

 ntroduction To Machine Learning

We’ll try to answer all the basic questions related to machine learning in this and the following articles; know what it is and what could be achieved with it.

 

This Is How Artificial Intelligence Will Shape e - Learning For Good


 
Artificial Intelligence (AI) promises to impact our future and shape its development in many ways. But what is AI, how is it different from Machine Learning and, more importantly, how Artificial Intelligence will shape eLearning?

How Artificial Intelligence Will Shape eLearning?

In an age where everything is changing –and changing fast– it’s easy to forget how much we’ve progressed. While we may not have floating cars or robotic teachers, we are on the brink of some very exciting and dramatic developments across all industries. As one of the principal drivers of progression, it’s no surprise that learning –and education in general– has been a focus of technological advances. While e - Learning is not a new concept, its popularity is increasing, especially as technology becomes more affordable. A big barrier for e - Learning is the cost of developing content. According to a survey conducted by Chapman Alliance, developing one hour of e - Learning content can take anything from 49 to 125 hours. In comparison to the 22 to 82 hours that it takes for instructor-led training (ILT), it is easy to see how the costs stack up. Even though e - Learning wins in the long run due to its scalability, it can still pose a barrier to companies that can’t afford the initial investment. Developing ways to repurpose existing content can mitigate the expense of content development, and recent advances in Artificial Intelligence (AI) could be the silver bullet that’s needed. Here is how Artificial Intelligence will shape e - Learning in the future.

Artificial Intelligence Doesn’t Equal Machine Learning

There is quite a lot of confusion about the difference between AI and machine learning. While many big companies use them interchangeably, they are not the same thing. Related, sure, but different.

Google defines AI as “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages”.

Think of it like this: If a computer gathers information about birds and refines it over time, it would be considered machine learning. If that computer then categorized those birds based on that information, it could be said that the computer used AI in order to achieve that task. That is, the computer used AI to categorize the birds based on the refined information that it gathered during machine learning. Machine learning is to Artificial Intelligence what books are to education.

Machine learning is a system where a computer can learn without being explicitly programmed – it has dynamic parameters whereas, up until a couple of years ago, the sum total of AI was a set of static parameters cleverly pre-programmed by a developer.

Machine learning can be separated into 3 categories:

1. Supervised Learning.

Machines are given data that is well-labeled and tagged with the correct answer. They’ll process it and once training is complete, apply it to unseen data. Accuracy is directly proportional to the size of the data set.

Example: Labeled data about birds, where the machine gathers information about each avian individual.

2. Unsupervised Learning.

Machines are given specific data (that is, in a particular category) but it isn’t labeled.

Example: Data about birds, but no additional information.

3. Reinforcement Learning.

Machines are given unlabeled data that is graded after processing. This means that the computer is told how accurate the output is, so it can reinforce the decisions it made along the way. This method requires many data sets in order to become accurate.

Example: A game of chess. The machine has no preprogrammed moves (apart from the game rules) but the output is graded, so it knows whether it won or lost. If it won, it can then go and reinforce the decisions it made.

Deep Learning And Artificial Neural Networks Explained

As we progress in the field of AI, new techniques are being developed to improve the effectiveness of machine learning, constantly pushing us towards true autonomy. One such technique is an Artificial Neural Network. This is quite a popular method as it has opened the door to deep learning as well as making the applications of AI far-reaching and meaningful.

An Artificial Neural Network is a technique applied to machine learning. It’s composed of a network of nodes or neurons, loosely resembling the human brain and neural system.

Data is sent to the input layer (A) which manipulates data and then passes it on to the second layer (B & C). These nodes then further manipulate the data and pass it on to the output layer (D).

Each node manipulates the data based on weights that are adjusted through training processes.

On the other hand, deep learning  is more intricate as it consists of multiple hidden layers and produces a far more complex network called a “deep neural network”. This is where AI starts getting very interesting. Deep learning is the jump from telling computers what to do to giving them examples of what to do and letting them figure out how to apply it to other situations; the jump from predefined steps to predefined models.

Deep Learning has pushed the field of AI forward recently, producing incredible results in areas like speech and image recognition. Where most machine learning methodologies try to model the world, deep learning attempts to model the human brain in order to create and maintain its own representations of the world.

What Classification Could mean For e-Learning

One area that is being vastly improved by deep learning is classification. Training a machine to be able to recognize data and classify it accurately has multiple useful applications: Image categorization, translation, and caption generation to name a few. Classification is particularly beneficial for eLearning. Using machines to help classify and organize content, would greatly reduce the cost of content development.

Classifying information accurately in terms of subject matter is extremely beneficial as it minimizes the resources needed to repurpose content. However, without automation, it can be an extremely tedious and time-consuming task.

Deep learning promises to solve this challenge. More importantly, however, it has the potential to improve classification and instructional design altogether. Identifying related concepts across subjects is powerful and would not only reduce the resources required to repurpose content, but also allow machines to produce new content in subjects that are not initially developed.

For example, while subjects like Physics and Optometry are completely different subjects, there are concepts within the material that would overlap – light for example. Sifting through all of the content in each subject to identify related concepts would take many man hours and subject knowledge, yet with deep learning, machines have the potential to perform that task quickly and efficiently.

Suddenly, thanks to machine learning and classification in particular, the applications of AI in e - Learning become extremely tangible and have the potential to reduce the cost of content development drastically.

Applying Adaptive Learning Environments

The application of AI to e - Learning content is not just a cost-saving solution; it also opens up a whole new way of looking at learning itself.

People learn in different ways and at different paces, so one of the major challenges in classrooms is maintaining a balance between engaging the quicker learners and accommodating the slower ones. In this type of situation, adaptive learning environments can allow for a completely individualized pace.

This includes environments that can accommodate individual learning styles and can run in parallel to each other. Thus, creating a far more effective learning environment, and increasing the chances of a group of individuals assimilating information accurately over a set period of time.

Apart from the quality of learning, AI presents an extremely valuable solution for training in industries with a high rate of dynamism. Companies that need to update their course material on a continuous basis will benefit from adaptive learning environments once machines have the ability to accurately predict how course material needs to improve and change.

Intelligent learning environments can also analyze data across all personalized training instances, to recommend improvements and highlight inefficiencies that would not be possible otherwise. Of course, there is the benefit of using AI for translating content into other languages - this alone could save industries millions every year.

Once a machine has developed the ability to create new content, personalization of learning will exponentially improve. Adaptive learning technologies would give rise to completely personalized environments with content that not only changes but are actually created based on the individual needs of the learner. So, as you can see this technological advancement would vastly improve the quality of education that the learner receives in various ways.

Ethical Implications Of Artificial Intelligence

One point of contention with deep learning, and AI in general, is that of responsibility. With traditional training environments, the trainer is responsible for the information being relayed to learners and assumes the responsibility to ensure that it is accurate. If not, they are liable.

However, with AI the creators of the algorithms are not the creators of the content their algorithms produce. This presents a massive problem if something goes wrong; machines cannot be held accountable in the same way that humans can.

That being said, in a discussion at the Disrupt London tech conference, Google’s DeepMind CEO, Mustafa Suleyman, spoke about the responsibility designers and technologists have to think consciously when building these systems. He mentioned that the creators could unwillingly introduce their biases into the systems being built – without realizing it.

In March Microsoft released a Twitter chatbot as an experiment. It learned as people tweeted to it. In less than 24 hours, it went from tweets like “humans are cool” to “Hitler was right” showing the impact that our own flaws can have with AI systems.

Holding the creators of algorithms liable is not technically fair though. The systems learn from the data being processed, not from the algorithms themselves. And in verticals where safety and compliance is non-negotiable, such as a learning environment, this could present a radical problem.

It is up to the people managing the AI systems to ensure that the data being processed is fair and accurate. Just like a teacher’s responsibility to teach with accurate material.

The benefits of deep learning and its application to e - Learning are undeniable. Both the quality of learning as well as the cost of it is bound to be disrupted at a fundamental level. But there are potential consequences that are difficult to predict, and therefore to address.

Improvements in learning and information transferal are exponentially improving human progression, and like our predecessors, we need to take risks for the sake of our future.

17 Essential Steps In The Software Upgrade Process

 

Many organizations are facing upgrades to their learning management software as a result of GDP Regulations. This article outlines the most important steps and considerations in the upgrade process.

 

Software Upgrade Process: 17 Steps To Follow

With the General Data Protection Regulations (GDPR) coming into force across EU countries on 25 May 2018, many software suppliers are releasing system updates in order to comply with these requirements.

The complexity, time, cost, and resources required to upgrade your software will depend on a variety of factors including whether your site has been customized—either via plugins, with changes to the core system, or by an integration with another system.

There are, however, a set of steps and considerations an organization would typically undertake to perform a successful LMS upgrade.

1. Identify and Engage Your Stakeholders

Remember to include both internal and external stakeholders. End users, trainers, content developers, administrators, support and hosting teams, QA and testing teams, system owners, external suppliers, and service partners. Work out how each group interacts with the system, how an upgrade will affect them, and what level of ongoing engagement they might require.

2. Undertake Change Control Planning

Besides the technical work involved in upgrading your system, effective change control will probably be the biggest challenge surrounding a software upgrade. Keeping the balance between adequate communication and consultation, and overwhelming stakeholders with detail can be difficult. Consider assigning a dedicated Change Control Manager to the process and include developing a communication plan and (at a minimum) a high-level project plan as deliverables for that role.

3. Perform A Site Review

Performing a site review involves taking a stock take of any and all customizations within the site. Identify all bespoke developments and dig out the specifications and other relevant documentation relating to this work. Assess each development for upgrade or reimplementation. Is this customization in the core system or has it been developed as a plugin? Is this feature (or something very similar) now available in the new software version? Is the current development or the business need for this feature still applicable? Is your software integrated with any other systems or applications?

4. Establish Upgrade Requirements

Based on your site review, do you need to re-develop customizations and integrations or upgrade bespoke plugins? Do you need to make allowance for historical data from those customizations? Can you upgrade to the latest version of the software from your current version or do you need to upgrade to a more recent version first? Check the technical specifications of the new software—do you need to upgrade, install, or purchase anything as part of the upgrade? Do you also need (or want) to upgrade your theme/design or will it work on the upgraded version?

5. Make An Upgrade Plan

Who will perform the upgrade? What needs to be upgraded? What needs to be redeveloped? Does anything need to be newly developed? How will the upgrade be performed? Is there any guidance on the upgrade from the software supplier? What time, people, resources, and budget do you need to apply to the upgrade process?

6. Make A Roll-Out Plan

When will the upgrade be performed? Will there be an outage? How long will it be? What sort of message needs to go out to stakeholders? What will be the implementation process? What is your rollback plan?

7. Backup Everything

Store that backup somewhere very safe and secure. Backup again, and store that file somewhere else safe and secure.

8. Run A Trial Upgrade

The best way to know if any issues will crop up during the upgrade is to try upgrading a copy of the live site. It will identify any code and/or database conflicts and where further work will be required. It’s important to allow plenty of time for this step and to engage with relevant stakeholders.

9. Upgrade A Staging Site

Once the technical aspect of the upgrade has been completed and any issues resolved, it’s time to upgrade a copy of the live site to a staging or testing environment. Remember to switch off any email processes so users aren’t messaged as part of any testing and make sure the staging site is only available to permitted users.

10. Perform Testing

This includes functional, non-functional and technical testing, quality assurance, data integrity, security, performance, and theme/design testing including browser, and device testing. Vital to the testing process is a shared mechanism for capturing and tracking issues. Issues should be described in detail, have a unique identifier for tracking purposes, have a current status, and be allocated to someone until fully resolved. It is also important to allow time for, and manage expectations around, user acceptance testing. While an upgraded system might be functional, it might not fulfill all of the business requirements it was implemented to address.

11. Undertake Configuration

With your freshly upgraded staging site now deployed, tested and issues resolved, site administrators will need some time to ensure any new features and functionality introduced by the updates are configured correctly. This might involve turning on or off features or updating settings to best accommodate your users.

12. Prepare Documentation

Preparing help files or user manuals, as well as technical documentation detailing any custom developments or deployment requirements is vital to the success of your current upgrade as well as any future upgrades. Leverage any documentation provided by the software supplier or your technology vendor and highlight the differences between versions to emphasize important changes in the new release.

13. Provide Training

Training the right people at the right time not only requires adequate training resources but adequate planning. Trainers and the trainees need to be available at the same time, in a suitable space. The amount of training, the type of training, and the length of training will depend on the end-user facing functionality and feature changes within your upgraded software. For some helpful hints on selecting a training provider.

14. Prepare Your Infrastructure

If your upgrade introduces a number of significant changes or you are timing the software upgrade with a re-release of the system, you will need to ensure your hosting setup will be able to cope with an increase in access and usage—if only for a short period of time.

15. Go Live

You have a few options around your go-live including a complete switchover or running the old system and updated system in parallel for a period of time. Refer back to your rollout plan to make sure everyone knows their role and responsibilities for the release.

16. Offer Support

There will probably be an initial demand on support resources after an upgrade has been released as users become acquainted with the new system. Changes to ongoing support might be required as a result of new system features and functionality or changes to processes and policies. Ensure the support team has enough documentation, training, and coverage to meet demand going into the upgrade release. For some helpful hints on selecting a supporting vendor.

17. Perform An Upgrade Review

It is important to review the upgrade project in retrospect to identify what worked well and where improvements can be made for the next time an upgrade is required.

 

2018 Web Design Trends For Better User Experience

 

2017 was mostly about web animations, design sprints, conversational interfaces, micro-interactions, bespoke illustrations, and chat bots. But many trends like floating navigation menus, inventive use of colors, bold typography, biometric authentication, etc. are emerging into the list this year. In this article, I am going to discuss some key features that ensure better User Experience in 2018.

Follow These 2018 Web Design Trends For A Better User Experience

Cohesive experiences were predicted in 2017 and became a necessity soon. Many other web design trends originated several months ago and are now improving and penetrating the mainstream.

In today’s creative and advanced World Wide Web, users expect innovative and sophisticated designs.  The pioneering UX consultancy ‘Clear left’ co-founder, Andy Budd thinks the subtle shift to digital service design from UX design that is going to grow. And as a result, we are going to experience more innovations in the field of digital design this year.

So, according to the future predictions of leading designers and strategists, web designing is evolving every single day with distinct developments. It is necessary for us to aware of and stays ahead of the curve. Let's have a look at the following:

1. Creative Layouts

The release of CSS Grid in 2017 is a milestone in web design. With this, the designers will have a level of control over the rendering of elements on a webpage for the first time. Over the past 20 years, the evolution and maturation of CSS allow the users to use the properties like feature queries and enables to present a different design based on the specific features of particular user browser supports. Nearly 80% of people accessing the web use a browser that supports CSS Grid. Other specific-layout properties like CSS Shapes, Flex box, and Writing-mode also become even more popular. Users wish to see more creative and productive layouts that utilize concepts of Graphic Design including vertical whitespace and overlap, yet still dynamically feasible layout on older browsers.

2. Variable Fonts

Variable fonts enable the possibility to tailor the width of the character for various screen sizes and languages, to provide better text grade adjustment both foreground and background contrast.
Better line length for users with low-light scenarios and with optical character size represented at smaller sizes for better usability.

3. Artificial Intelligence

Voice User Interfaces and chat bots (conversational UIs) were trending in 2017. Many of these interfaces aren’t driven by Artificial Intelligence (AI). There are a lot of articles, case studies, and talks on the intersection between AI and UX design, and are the most notable intersection in the field of robotics and finally, the UI is headless. An expert AI bot is not entirely feasible and exists distinct milestones ahead. It is an agent-assisted one follows a viable approach. It can handle all kinds of user requests to a greater extent that the user cannot identify whether they are talking to a human or not. It tries to fulfill the claims of the users, and in case it doesn’t know how to handle that, a human has to take over. These chat bots which are powered by AI not only replace a human being—but for the need to sleep—, but they are also time-saving, plus they offer solutions. With all these benefits, they stood, and still do stand at the top in the world of web design.

4. Ethical Designs

Inclusive and sustainable designs indicate broader design movements. The ethics are becoming more and more critical and are often designed to interrupt, encourage digital addiction, and distract quite dramatic consequences. The field experts to foster the adoption of web designing have created a framework called Ethical Design. This conceptual framework allows designers and their teams to develop systems, products, and services that do not harm human situations. They extend to the users and other living things in the way that is involved in the lifecycle of the system, product, and service.

5. Brand Experience

A website is the first medium of a brand to interact with the customer and is an extension of the brand to attract customers. Implementing new trends is an excellent source for creating inspiration and for generating a fresh experience and best ways to connect with the customers. Developing a website seamless brand experience of a website consumes a lot of time. A compelling web brand experience must include uniform narrative and well-targeted woven across each customer touch point. There is no sure-shot strategy to building and communicating a brand experience for better success rates. Understanding and using a transparent process helps him to develop an immense amount of clarity and direction.

6. The Power Of Storytelling

The primary way to absorb, store, manage, access, and communicate information as well as to connect with others is through stories. It is a fact that our brains respond to content just by looking for the story that perfectly explains the situation and helps to create mental models, narratives, and cognitive maps. For any website and digital media, storytelling isn’t about only content and can be delivered on multiple levels to communicate efficiently. This must be leveraging all web designing aspects and blend them carefully into a beautifully recounted comprehensive package.

Conclusion

The crucial thing to consider is that advanced web design not only focused on websites but accessed on desktop or mobile. The web designers have to see on a broader angle and make decisions by following the evolving trends. The techniques should be applied based on how they affect the brand experience on he whole.

 

Each observation was taken at a time to re adjust the weights. Same way we will make predictions for the future data points.

If you like what you just read & want to continue your analytics learning\

Signal Processing and Machine Learning Techniques for Sensor Data Analytics

An increasing number of applications require the joint use of signal processing and machine learning techniques on time series and sensor data. MATLAB can accelerate the development of data analytics and sensor processing systems by providing a full range of modeling and design capabilities within a single environment.
In this webinar we present an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her Smartphone.

We introduce common signal processing methods in MATLAB (including digital filtering and frequency-domain analysis) that help extract decrypting features from raw waveforms, and we show how parallel computing can accelerate the processing of large datasets. We then discuss how to explore and test different classification algorithms (such as decision trees, support vector machines, or neural networks) both programmatically and interactively.

Finally, we demonstrate the use of automatic C/C++ code generation from MATLAB to deploy a streaming classification algorithm for embedded sensor analytics.

Product Focus

      E - LEARNING TRENDS

The Future Of Artificial Intelligence In e - Learning Systems

 

.Artificial Intelligence (AI) is about designing intelligent software that can analyze its environment and make intelligent choices. Here are some thoughts on the future of Artificial Intelligence in eLearning.

 

 

Arrtificial Intelligence In e - Learning

Futurists envision a doomsday scenario where robots rise up against us. But Artificial Intelligence and robots are not the same thing, and Artificial Intelligence software has quietly crept into many facets of our lives. Artificial Intelligence is used in computer games and in the software that helps us parallel park. Artificial Intelligence is about designing intelligent software that can analyze its environment and make intelligent choices for online learning. But what exactly could be the future of Artificial Intelligence in eLearning?

Analysis And Data

Imagine what's involved in making chess programs that can defeat a grandmaster, and you see what Artificial Intelligence is capable of; making data-driven analysis and decisions faster than a human can. Artificial Intelligence is already making a big impact on medicine and transportation, and is about to play a major role in education.

Cute little robots are already available that can use wi-fi technology to scour the internet and tutor your children. But these technologies can also be used to educate adults. Perhaps in the traditional brick-and-mortar colleges it's unlikely that robots will replace professors any time soon. But it's happening now in online schooling where the student is immersed in cyberspace. While software makes test-taking easy, how much is the online student really learning?

Teaching Software Is Adaptive

Adaptive learning has always been a part of the online experience in evaluating via pre-programmed tests. Adaptive learning is more about programs that branch out into different subroutines based on user responses. Real Artificial Intelligence software will do much more than that.

In the past it was more suited to logic such as mathematics which focused on sterile problem solving. The right answer was still more important than any process used to get there. It was necessary to find a way to adapt this kind of instruction to relationships, abstract concepts, and real-world use.

Artificial Intelligence Emphasizes Areas That Need improvement

Some more recent Artificial Intelligence teaching software is able to identify areas where students are deficient and focus on that content. Advanced versions can generate new problems from source material. These online systems actually generate better material and more comprehensive testing than typical classroom curriculum.

Artificial Intelligence Can Create Immersive Experiences, Not Lessons

Machine learning in artificial intelligence should be geared toward meaningful lessons, not simply passing a quiz. Artificial Intelligence systems are able to identify each student's needs and come up with models which focus on method and reason rather than bald facts.

AlphaGo is software developed by London's Google DeepMind to play the game Go, Go or Flip it is a classic strategy board game more complex than chess. It became the first Go program to beat a professional human player. Google's AlphaGo uses two types of Artificial Intelligence technology:

  • Deep neural networks, where a 12-layer network of connections represents a policy network selecting the best possible move from its value in predicting the winner.
  • The Monte Carlo tree search, where random moves are generated and simulations for the game that follows from them are analyzed to determine the most effective.

Such predictive logic and analysis can be adapted to a “game” where the goal is maximizing the students grasp of concept and problem solving. Students need to be challenged.

Cognitive load theory is the idea of mental effort as a learning experience. While this is difficult to quantify, designing Artificial Intelligence from templates and issues that are already quantified and tailored to accepted educational studies. Learning methods in artificial intelligence are not limited to presenting information and generic quizzes. The benefit of online services in education is that it's capable of going way beyond any text book.

Artificial Intelligence In e-Learning: The Future

Access to all the information on the internet and Big Data analytics is actually a faster and more complex process than simply coming up with a new lesson plan. Educators may find themselves in the position of simply feeding results into databases and developing theories and algorithms for Artificial Intelligence to validate or dismiss. When it comes to eLearning, the best instructors really boil down to being the best software engineers. An introduction to Artificial Intelligence may be required for future educators.

The benefit of Artificial Intelligence comes from its ability to evaluate, learn, and adopt a dynamic strategy. Artificial Intelligence was able to analyze and come up with solutions for how to solve a snake cube puzzle, a mechanical game where a chain of 27 or 64 cubes connected by an elastic are arranged to form a 3x3 or 4x4 cube. Artificial Intelligence solves problems that baffle most humans.

While the current evaluation of educational techniques indicate that one-on-one instruction from a human tutor leads to better understanding than either classroom or online lessons. But that is not always possible for every student. And Artificial Intelligence in e - Learning is still basically in its infancy. The future of artificial intelligence lies in its potential for making the most of all the elements that make e - Learning so promising.

One of the best benefits of e - Learning is that it allows students to learn at their own pace and explore new material turned up by simple searches. e - Learning from an Artificial Intelligence tutor means that students are free to explore topics in depth, and test their knowledge in complex scenarios rather than simple right-or-wrong answers.

Some detractors may maintain that a computer is less “relatable”, but a computer's ability to reproduce human images and voices is child's play even now. Artificial Intelligence instructors that are more dedicated, more knowledgeable, and less error-prone than human instructors are coming. And given that charisma is not a pre-requisite for classroom instructors, Artificial Intelligence programs could be more relatable, after all.

 

Machine Learning And Artificial Intelligence: The Future Of eLearning

 

What does the future hold for predictive analytics and iterative automation in eLearning? In this article, I’ll discuss the many advantages of Machine Learning and Artificial Intelligence. I’ll also explore how these tech-centered strategies will transform the e - Learning industry as we know it.

 

 

The Role Of Machine Learning And Artificial Intelligence In The Future Of eLearning

It’s an exciting time in the world of eLearning. Technology is constantly evolving and adapting to boost everyday efficiency and make our lives easier. Modern tools give us the power to connect from around the globe and bridge gaps as soon as they appear. One such advancement is the rise of Machine Learning and Artificial Intelligence. Namely, their role in the future of eLearning. Predictions, algorithms, and analytics come together to create more personalized e - Learning experiences. But how exactly will Machine Learning and Artificial intelligence (AI) transform the e - Learning landscape in years to come? And how can you start preparing for monumental changes today?

What Is Machine Learning And Artificial Intelligence (AI)?

Before we dive into the forecast of Machine Learning and Artificial Intelligence (AI) in eLearning, let’s cover the basics of these tech-based approaches. First things first: Machine Learning is a sub-division of Artificial Intelligence. It involves algorithms that predict possible outcomes based on user data. The system identifies certain patterns and trends, then learns from the data in order to provide greater personalization. Every piece of new information that the program receives makes it more intuitive. The entire process takes place autonomously, from extracting and evaluating the data sets from the LMS to predicting what online learners need based on their past performance.

Today, there are two different types of Machine Learning frameworks: proprietary and open source. Both fall into the category of deep learning software. There are also various tools or hardware involved, ranging from tensor processing units developed by Google to vision processors that enable machine vision operations. In addition, you can already find a vast assortment of Machine Learning libraries, complete with algorithms that support specific programming languages.

Machine Learning Classifications

Machine Learning includes algorithms that allow the system to predict future outcomes and detected patterns based on specific user data. Here are the 3 common algorithm classifications that are used in Machine Learning:

1. Supervised

The system uses past examples and new data sets to predict the outcomes. In this instance, the programmer must provide the system with inputs and outputs in order to train the software. Over time, the system can automatically construct outputs or targets for new data sets.

2. Unsupervised

Does not involve any labels or data classifications. The system evaluates data in order to identify patterns and make inferences or predictions. It’s not a matter of mapping the input to an output, but detecting more obscure trends or insights in the data set.  There is also a sub-set category known as “semi-supervised”, which combines unlabeled data and human-based training. For example, the programmer provides the system with labeled online resources in order to map out certain inputs and outputs with greater accuracy.

3. Reinforcement

This Machine Learning category includes a specific task or goal that the system must complete. Throughout the process, it receives feedback in order to learn the desired behaviors. For example, the system encounters an error while performing the action or a reward for achieving the most favorable outcome. Thus, the program is able to learn the most effective approach via “reinforcement signals”.

The Benefits Of Machine Learning And Artificial Intelligence (AI) In eLearning

There are a variety of benefits that Machine Learning and Artificial Intelligence (AI) can offer online learners of the future, as well as organizations who invest in modern LMS platforms that feature intuitive algorithms and automated delivery of e - Learning content. Here are just a few of the most notable advantages:

1. More Personalized e - Learning Content

Machine Learning algorithms predict outcomes, which allows you to provide specific e - Learning content based on past performance and individual learning goals. For example, an online learner’s history reveals that they prefer tactile e - Learning activities. Thus, the system automatically adjusts their e - Learning course map to include more serious games and e - Learning simulations that are kinesthetic by nature. Likewise, online learners who exhibit a particular skill gap will receive targeted recommendations that build related talents and abilities. Thus, they are able to gradually gather the building blocks that the skill set requires. The system also delivers the e - Learning content in a more personalized format. For instance, it may skip several e - Learning modules for more advanced online learners or take a more comprehensive, linear approach for those who still lack basic knowledge.

2. Better Resource Allocation

There are actually two benefits relating to resource allocation. The first is that online learners receive the exact online resources they require to fill gaps and achieve their learning goals. In the corporate sector, this equates to less seat time and training payroll hours. Employees get the information they need more rapidly, as every online training resource is custom-tailored to their personal objectives. The second benefit is better resource allocation for your L&D team. They can spend less time analyzing graphs and LMS metrics, and more time developing powerful e - Learning content. The system takes care of the Big Data and allows your L&D team to spend their time and energy elsewhere.

3. Automate The Scheduling And Content Delivery Process

Many Machine Learning tasks involve behind the scenes work that are tedious and time-consuming, but crucial nonetheless. For example, scheduling coursework for online learners or delivering online resources based on their e - Learning assessment results or simulation performance. Artificial Intelligence (AI) may be able to take over these operations in the near future, making it possible to automatically generate unique e - Learning course maps for every online learner who enrolls in your e - Learning course. They can also readjust their e - Learning course immediately whenever the need arises.

4. Improve e - Learning ROI

Less online training time and greater personalization translates into a broader profit margin. You spend less on online training without sacrificing the desired outcomes thanks to predictive analytics and AI-equipped software that can track and forecast every move on an online learner. This also gives you the power to deploy your online training resources where and when they’re required. For example, more effective data gleaned from Machine Learning algorithms reveals hidden online training gaps. In response, you can funnel online training resources to address the inefficiencies and omit other areas of the online training program that are no longer relevant, instead of devoting online training resources to maintaining assets that aren’t resonating with online learners or supporting current objectives.

5. Improve Learner Motivation

Online learners receive an individualized experience instead of a generic e - Learning course that touches on irrelevant topics. Therefore, they don’t have to dedicate as much time to the online training process, but still accomplish their goals and build vital skills. This gives them the added motivation they need to engage with the e - Learning content and reach their potential. They are also able to go at their own pace and participate in e - Learning activities that resonate with them. The Machine Learning systems of the future can be likened to a private virtual tutor, offering them the coursework they need just when they need it.

6. Create More Effective Online Training Programs

These benefits result in more effective online training programs that take all factors into consideration, instead of only acting on one piece of criteria. For example, online assessment results or survey findings. The Machine Learning system offers a comprehensive overview of Big Data and uses it to predict the outcome. Therefore, you can intervene before it’s too late and offer every corporate learner new personalized online training opportunities. You can even use AI to make peer-to-peer interactions more productive. For instance, match mentors to online learners who can benefit from their specific skills or past experiences.

How Machine Learning And Artificial Intelligence Are Transforming The e - Learning Landscape

What if you could create e - Learning content and then let the system take care of the more tedious tasks, such as reviewing charts and statistics to detect hidden patterns? What if you could provide immediate personalized e - Learning feedback and steer online learners in the right direction without any human intervention? Machine Learning and Artificial Intelligence have the potential to automate the behind-the-scenes work that requires a significant amount of time and resources. In the future, AI can help you develop and deploy more meaningful e - Learning experiences that bridge undisclosed gaps.

The system will be able to predict every eventuality and desired outcome in a matter of seconds. Then deliver e - Learning content that caters to online learners’ individual needs, preferences, goals, and areas for improvement. It takes intuitive e - Learning design to a whole new level, as the system knows what an online learner requires even before they do. As such, you have the power to custom-tailor every aspect of the e - Learning program based on an online learner’s past performance, job description, and learning preferences.

4 Tips To Prepare For The Machine Learning Revolution

A complete Terminator-esque AI takeover is still a ways off. However, you can start preparing for Machine Learning integration today with these simple tips:

1. Research Available Tech Tools

A good place to start is to researching current LMS platforms and e - Learning tech tools to get a sense of modern Machine Learning integrations. For example, some e - Learning software already has algorithms and automation features built in. You can also evaluate the LMS your organization is using to gauge its tech limitations. Then look for add-ons or third-party software that can help you optimize its efficiency. Consider attending trade shows or conferences to get the latest scoop on Machine Learning tools and applications.

2. Collect Current Big Data

You don’t want to wait to collect data until Machine Learning and Artificial Intelligence becomes a full-fledged reality. In fact, you should already be collecting Big Data from all available sources, even if you aren’t currently using it in your online training strategy. There’s no way to tell which data will be useful when it’s time to incorporate algorithms and predictive analytics. Machine Learning systems require the complete picture, not just a snapshot of the last few days or weeks. Compile and organize data from your LMS, website, and social media pages, in addition to survey results and on-the-job observations. Store it safely for later use after you’ve identified the patterns and trends that are relevant for today’s online training content.

3. Be Realistic About Machine Learning’s Role In Your Online Training Strategy

It’s important to bear in mind that Machine Learning isn’t going to be the ultimate solution. Though it will probably be a powerful tool to maximize the power of Big Data, some degree of human interaction will still be required. At least until the robots fully takeover and we’re all able to ride off into the sunset in our flying cars. You should be realistic about how much will actually be automated by the system and the role that AI will play in your online training strategy. Identify your objectives and evaluate the current tasks your employees perform in order to maintain the system and evaluate data sets. Then figure out which operations can be managed by Machine Learning algorithms in the future.

4. Develop A Game Plan To Get A Head Start

It’s nearly impossible to create an exact timeline for when you’ll fully incorporate Machine Learning into your online training strategy. However, you can develop a rough game plan to stay one step ahead. For example, create an outline of the desired outcomes in order to identify Machine Learning applications in your organization, such as how it will help you reduce employee turnover or manage HR operations more effectively. You might also consider taking some courses in programming or Machine Learning algorithms, or reach out to experts in the field who can offer their assistance when the time comes.

Machine Learning and Artificial Intelligence are sure to play a prominent role in the future of eLearning. Especially given the numerous benefits they can bring to individual online learners and organizations. The secret is to stay one step ahead of the tech trends and evaluate your current e - Learning strategy to forecast AI applications. How can Machine Learning help you deliver learner-centered e - Learning content and streamline the data analysis process? What can you do to make way for the rise of Machine Learning and benefit from Big Data now?

There’s still some time before Machine Learning and Artificial Intelligence take over the analytics process entirely. Read the article 5 Types Of Big Data To Extract From Your LMS And How To Use It to discover the types of Big Data you can extract from your LMS today, and how to put it to good use to improve your e - Learning course design.

Here is how to ensure you’re ready to establish your online training program for your on-demand workforce or client partners.

1. Understand The Costs And Tradeoffs

Begin by understanding the important cost factors and tradeoffs involved with various approaches. Consider the unprecedented costs of using an in-house home-grown approach. Trying to manage a comprehensive online learning environment with a hodgepodge of spreadsheets, disparate file formats, separate databases, and non-optimized authoring tools is a recipe for failure. When content is not delivered in a seamless interface, your on-demand workers or client partners will disengage and lose interest, making your entire effort a waste of precious time and resources.

Your most valuable assets for the creation of any online training program are the Subject Matter Experts who provide the knowledge that the program is designed to communicate. In most cases, Subject Matter Experts can be found directly from within your organization. Whatever you can do to make their ideation and creation process conducive to authoring great content is a good investment toward overall success.

You also need to consider the costs of scaling, maintaining, and extending your online training programs. After your internal team’s upfront investment of creating content (regardless of whether you’re investing time, money, or both), you definitely don’t want the deployment process to hit-the-wall or require constant tweaking when scaling to serve larger audiences. You also need to be able to update the content easily, without having to start from scratch and/ or impose heavy burdens on Subject Matter Experts.

Perhaps the biggest cost to consider is the risk of the online training program not achieving its goal of delivering knowledge to the target audience. To be effective at optimizing both learner buy-in and knowledge transfer, the end-user environment must be intuitive, engaging and easy-to-use. Providing a consistent interface and seamless integration of all the training assets (lessons, videos, chat, workbooks, tests, etc.) within a single easy-to-navigate platform is critical to avoid frustrating your on-demand workers and client partners. Learning needs to be fun and to feel like an adventure, not like a chore.

2. Determine The Program Scope And Implementation Strategy

As with any program implementation, you need to clearly establish the goals at the outset. Adding a branded online training program to your organization is no different than any other organizational change. It requires a clear purpose and well-defined outcomes. You need to consider stakeholders throughout the organization, beyond those who are directly involved in creating and deploying the training. For example, instituting new customer on boarding training directly involves product managers and customer service, but it also likely has implications for sales, operations, product development, and finance.

For companies with diverse product families, consider the importance of maintaining brand consistency across your training programs. Launching an online learning environment represents a major factor in your overall branding and customer-facing strategies. As with any such initiative, you want to reinforce corporate image and messaging objectives, and ensure it doesn’t appear as a standalone ad hoc program.

Choosing a learning platform that supports cross-functional collaboration and ease-of-authoring along with the integration of all content within a consistent delivery model is critical to achieving both the immediate project ramp-up and the long-term program success.

Once you have determined the goals, scope, and objectives, as well as the organization-wide stakeholders, it is time to start the implementation. Depending on your resources and schedule, the implementation can be handled either in-house or through an experienced agency. In either case, it is important to designate an in-house training coordinator to work with both in-house and external teams in order to keep the project on track and to resolve issues as they may arise.

3. Establish Clear Metrics

When your team of content creators has invested their efforts in designing and deploying an online training program, you need to be able to capture and analyze key metrics to make sure goals are being met.

Not all training platforms will allow you to track the metrics you need to determine the effectiveness or success of your programs. In fact, not all the metrics you may need for your programs can be measured by online learning analytics alone. In order to know how users are doing, during and after a course, successful program managers sometimes have to think outside of the online analytics box.

So what should you track?

In many cases, the metrics you’ll want to measure will depend on your specific course. If your course is a compliance course, you won’t be tracking the same things that you would be in a course intended to teach a specific skill. Below are some examples of what to track, how to track it, and why you should care about it.

What To Track: Participant Satisfaction

How to track it: Survey

This is probably the most common type of assessment used in courses; an electronic survey is distributed to learners who have completed a course, and participants are asked to evaluate the course. While it may seem like a hassle to ask your learners’ opinion of your course, these surveys can contain valuable information, telling you which parts of the course worked for them and which parts can be improved. And if your learners don’t complete the survey itself? That’s information, too.

What To Track: Completion Rates

How to track it: Your training platform’s built-in analytics

Sometimes the best metric is the simplest one. Your training platform should be able to show you how much of your course has been completed by any learner. If you’re conducting a basic course, you can track completion of the course over time, and you can learn where the choke points and “off ramps” are where you’re losing some learners. As you tweak the course, you’ll be able to see how those changes affect the completion rate. You can even take a deeper dive and look at the effect of course completions on performance.

What To Track: Skills And Knowledge

How to track it: An assessment or knowledge check at the beginning and/or end of the course to evaluate skills learned

Many online courses do not include a knowledge check at the end of the course, and they are missing an opportunity to test the knowledge of their learners. It may be more compelling, however, to test your learners behaviorally, evaluating their ability to perform a task they learned during your course.

For example, Livesey Solar Practice Builders, healthcare marketing organization in the UK which runs a course on telephone sales, tests its learners before and after the course with a series of mystery calls. Those calls enable the organization to understand what skills the learners need to master during the course, and how much they’ve improved afterward.

You can test your learners visually on a task even if your course is online and aimed at client partners or on-demand workers. After a course is over, training managers can require workers or partners to record themselves performing an activity. The learner can then send that video to their training manager.

Tracking your learners’ progress through a course is important, but these metrics are just a starting point. Every online training initiative is different, and each organization needs to improve in different areas. Before you start tracking any metrics at all, take a long, hard look at your course and your organization’s training. Then make a list of your goals as a trainer.

4. Form Your Team, Define Roles, And Set Realistic Timeframes

As previously mentioned, it is important to involve stakeholders across the organization but your core team will typically consist of implementers with platform and project management expertise. Subject Matter Experts, too. The typical flow of a project goes through five key stages: Define, Outline, Build, Engage, and Measure. Throughout this process, project staff is responsible for keeping the program on-track and supporting Subject Matter Experts in the ideation and creation of content.

The timeframe depends on your specific goals, budget, and capacity, but it also is highly dependent on the quality of the tools, platform, and partners you select. Creating great content is partly an art, but it needs to be supported by a solid infrastructure and project plan to succeed. This plan must provide time and space for ideation, wire-framing, prototyping, experimentation, and optimization.

Quickly deploying that great content requires a server and distribution architecture that is designed to scale while also monitoring, analyzing and optimizing results. Learner feedback is a key piece of this process, so don’t be afraid to take an iterative approach. Launch with one course to start, learn from your on-demand workers and client partners and improve upon your program moving forward.

Choosing A Partner

When considering an external partner to help ensure the success of your online training program, make sure that they bring together:

  1. The platform features, scalability, and adaptability to support your training objectives.
  2. The knowledge of best practices, learning design, and program management to ensure fast ramp-up and long-term success.

If you choose the right partner, the right platform, and the right strategy, your efforts will promote retention and operational efficiency, while preserving the brand you’ve worked so hard to build.

If you want to learn more about how to preserve your brand’s integrity, improve operational efficiency, and scale your business with a training program that delivers results, download the free eBook Getting Started With Training Your On-Demand Workforce And Client Partners.

MUKESH KUMAR, CHAIRMAN, IT SUB COMMITTEE, BIHAR INDUSTRIES ASSOCIATION (BIA)  E-mail : rgsspatna@gmail.com  

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The Digital Marketing industry is at its peak at the moment due to many reasons, take a look at some of them:

·  It is the newest thing in town: Better Job Opportunities

· It is flexible

· It is easy

· Eco- friendly

·  Fastest Reach

·  Influential

·  High engagement

·  Small investments and big Returns

 

The practice of digital marketing started since the 1990s. Since then it has come a long way. This is 2017; digital marketing has made a great impact in the field of marketing and advertising. The reasons behind this huge influence are cost efficiency, immediate response, flexibility, accessibility and so on.

Digital marketing provides a number of the foremost powerful techniques of selling wherever traditional modes of marketing fail.

In the past few years there has been a great change in the world of marketing. Whether it is advertising, promotion or sales, digital marketing has taken over the traditional marketing. With the help of digital marketing a businessperson can connect with his customer at any time. With the upgrading of technologies and social Medias, the demand of digital marketing will only increase in the coming years.

Some of the top trends of digital marketing in 2017 are –

· People have changed their judgment about product marketing. They now want more reliable information about products. So that they can easily understand the product value and they can make a decision. So the market strategies are changing according the customers demand.

 

· Content will be the most important part of digital marketing. A well organized and informative content will help the audience to understand the business policies. And it will help the trader to get more traffic for his business or product.

 

· Main marketing objective will be to help people get better to their business. People who are interested in business will be given priority. Creating a network and maintaining that network will be the main key 

 

Growth of digital marketing

Let’s have a look at some interesting facts to give you an idea of how and where the world is heading as far as digitization is concerned.

· The Digital India Campaign started by PM Narendra Modi aims at encouraging each Indian to use digital platforms.

 

·  Low cost of mobile phones is making it easy for people to go online. In fact, India has one of the largest population of internet users. By 2020 there will be more than 500 million Internet users across the country. 3G penetration has revolutionized the market scenario and created ample business opportunities for companies to reach out to customers online.

 

·  It is estimated that by the year 2020, every company around the world will have an online presence. But in order to get high search engine rankings and increase customer base, these businesses will need digital marketers to guide them at every step.

 

· The e-commerce industry is growing at breakneck speed.

 

· More than 70% of marketers believe that traditional marketing models will not be sufficient to grow their business. They are developing marketing strategies by considering the digital media users in mind. As of the year 2016, 35% of companies already have a digital marketing strategy in place. They believe that this move will help them increase their revenues by 30%.

 

MARKETING TOOLS FOR DIGITAL:

 

Social Media Marketing

·  How to generate leads, build a brand image and reach out to the target audience using social media strategies

· Paid campaigns on these platforms

· Measuring ROI

 

Mobile marketing

· Strategies that work on mobile devices

·  Learn about SMS marketing, App based marketing, location-based marketing

 

Email marketing

·  Strategies and tactics in email marketing

·  How to manage email campaigns

·  How to communicate with the target audience in the Most effective way

·  How to create user lists, send emails and generate Relevant clicks

 

Content marketing

· How to create unique content that gains attention of the Target audience

·  How to use white papers, case studies and brochures for User engagement

 

Web Analytics

· Process of measuring and monitoring website traffic

· Evaluating the effectiveness of campaigns

· Understanding data and making sound business Decisions on the basis of the metrics collected

 

 Following are the most demanded skills to learn in Digital marketing:

Content Marketing: Content is the king and base for all your marketing. Nearly 50% of the companies have content strategy.

Social Media Marketing: Social media budgets will get doubled in the coming next 5 years. Internet penetration is gaining more and more results. Nearly one-third of the population is currently using some type of social media platform.

Search Engine Optimization: 33% of traffic from Google’s organic search result goes to the first item listed. So knowing the strategies of search engine optimization will give you a cutting edge in the digital marketing industry.

Mobile Marketing: The growth in mobile phone users has created a lot of opportunities for the marketers. This is new thing in the digital marketing industry and brands having their website of older version need to be optimized for mobile phones. So a digital marketer should have proficiency in mobile marketing.

 

Internet & Mobile– Some Facts and Figures:-

As per a recent study, although internet penetration in India is yet to cross 16% of the population, however in absolute numbers this percentage works out to nearly 10 times the population of Australia.

According to a recent report released by IAMAI and IMRB, internet penetration in India has crossed the 200 million mark by October 2013. Besides, it is estimated that there will around 243 million internet users in the country by June 2014, leaving behind the US as the world’s second largest internet base after China.

Moreover, India has 110 million mobile internet users of which 25 million are in rural India. Of this 5 million internet users in rural India 70% access the web via mobile phones.

Not just that India with more than 82 million monthly active Face book users spots the third position in the world after the US and Canada and it is expected that that the country will have the world’s largest Face book population by 2016.

Future of Digital Marketing in India

The advent of the digital marketing has opened up a novel landscape of doing business i.e. online business.

According to a survey- by 2017, India will have around 600 million internet users that ultimately create a fascinating business opportunity to sell services and products to a growing population of tech-savvy internet users. Recently, booming prevalence of digital India campaign is also adding lots of new flavors and fervors to the future of digital marketing in India. Growing startup trend is another reason that plays significant role in creating a great scope of digital marketing in India. The most common problem that startups face is lack of funds and digital marketing can rescue them as the most cost-effective blessing in disguise. It is highly economical and equally powerful way of conversion-oriented marketing. All the digital marketing maneuvers can also be quantified through powerful digital marketing tools like Kiss metrics, Google Analytics, Google Website Optimizer, etc. that make it one of the most result-oriented modes of marketing.

There are more than 900 private TV channels and 250+ radio stations in India, which make traditional marketing quite expensive and highly confusing with lots of in-built vacillations. However, in today’s world of internet, Digital Marketing is the only one and most guaranteed way of marketing, which is popularly being the most preferred space of marketing communications and related interactions.

Changing statistical dynamics of future of Digital Marketing in India are-

The future of marketing is way beyond the traditional marketing or outbound marketing methodologies that have been using TV and radio ads, print ads, hoardings, banners, magazines, etc. Now, marketing is majorly based on online marketing (inbound marketing) — Marketing in the Digital Sphere. Scope of Digital Marketing provides some of the most powerful techniques of marketing where traditional modes of marketing fail.

Digital Marketing has great panjandrum over entrepreneurs as it not only rescues but also empowers them to optimize their startups in the most cost-effective and quickest possible fashion. Future of digital marketing is going to be more encompassing in 2017, thanks to its ability to offer wide range of economical, powerful and contemporary mechanisms and mediums of marketing.

Digital marketing takes things into consideration like –

· Page rankings in search engine results

· Advertising on search engine platforms

·  Conversion through SMO & SEO campaigns

·  Optimization of internet marketing & associated ROI

· Banner ads on other websites & Marketing on Digital  World

 

Key findings of some of the Recent Digital Marketing Surveys are –

· 34% of the companies already had an integrated digital marketing strategy in 2016

· 72% marketers believe that traditional model of marketing is no longer sufficient

· Company revenue driven by internet marketing will get increased by 30%

·  In 2017, 80% businesses will increase their digital marketing budget

·  Digital Marketing budget may surpass the IT budget in 2017

 

Future Trends of Digital Marketing in India

Digital Marketing will remain as the most powerful and result-oriented way of marketing in 2017 too, and some of my observations on current and future outlook of 5 key channels that will pay key role in deciding future of digital marketing in India are

1. Mobile Marketing

To devise result-oriented marketing plans and campaigns, mobile marketing is going to play one of the most significant roles in 2017. Understanding customers’ changing needs and characteristics lets marketers plan in a result-oriented fashion. As per stats-

·  Current Outlook of Mobile Marketing in Driving Customer-Engagement- 40% (approx)

·  Future Outlook of Mobile Marketing in Driving Customer-Engagement- 75% (approx)

From consumers’ device usage perspective, Smartphone adoption and prevalence of mobile apps and messaging are going to be the topmost trends of digital marketing in 2017. From Face book’s Mobile Messenger, to What Sapp and We Chat, we have been witnessing the growing wish of consumers to communicate directly through mobiles compared to public social network pages. 2017 will come with some of the new options for paid media on mobile messaging apps that will further be boosted by artificial intelligence, which is another trend that will go hand in hand with mobile marketing. Brands are developing bots to engage customers, and Face book’s Both Engine for Messenger and Google’s new assistance service introduced in Google I/O 2016 indicated towards the rise of Artificial Intelligence to provide more personalized and interactive assistance to consumers through mobile marketing.

· More than 52% of searches are done through mobile.

· 89% of Face book Daily Active users come through     mobile.

·  83% of Face book advertising revenue comes through Smartphone’s.

·  92% of mobile media time is spent in Smartphone apps by consumers.

2. Video Marketing

Modern customers prefer to view a video content on company promos. Growing need for the visual content has turned video marketing be one of the most appealing trends of digital marketing in 2017. When a visual content is well produced to communicate the message in an interactive and engaging way, conversions are always guaranteed.

·  Current Outlook of Video Marketing in driving Customer Engagement- 37%

·  Future Outlook of Video Marketing in driving Customer Engagement- 69%

 

Video content is swallowing up the content marketing and online marketers take advantage of its power to tempt more customers in quickest possible time. With booming mobile marketing, videos are now offered on mobile phones that fuel up the whole process. Video marketing is the most powerful way that companies use for

·   Introducing themselves

·  Spreading their messages

·  Promoting their products/services

·  Increasing their reach and optimizing search ranking

·    Boosting customer engagement and enhancing returns on investments

 

Different kinds of Trending Video Content are-

· Social Media Videos like Face book Videos, Face book 360 Videos, You Tube Videos, Snapchat Videos, etc.

· Use of GIF videos on different social media channels like Twitter & Face book

· Product Description/Demo Videos and Landing Page Videos

· Storytelling with the help of live streaming videos

· Use of Videos in Email Marketing

 

3. Email Marketing

Email marketing is so effective in nurturing leads and ensuring conversions. Email marketers of some of the most successful marketing agencies claim a return of $40 for every dollar they invested. Well-targeted email marketing will be one of the most effective ways of ensuring conversions in 2017.

·    Current Outlook of Email Marketing in Driving Customer Engagement- 45%

·    Future Outlook of Email Marketing in Driving Customer Engagement- 57%

Email marketing is the most important part of your business branding and you need to choose those trends that befit with your customer profile and business objective. Your emails should reflect your quality and using professional email templates should be the base of your e-mail marketing campaign in 2017. Some of the top trends of email marketing in 2017 are-

·  Use of Email automation tools for sending and tracking of targeted and personalized emails that will let you understand more and more about your customer base like their demographics, tendencies, age, loyalty, etc.

·   Integration of social media content in email marketing strategy is another trend that will see great rise in 2017. Marketers will preferably provide references to their social content within their emails.

·   2017 will see a decrease in email blast, as this year would be of customized mails. Mobile-friendly email marketing is another trend that will be quite popular within the domains of digital marketing.

·   Aesthetically appealing animated emails are also going to be a popular trend of digital marketing as such fun new mails entice visitors and hold their attention that ultimately aids in conversions.

4. Social Media Marketing

Social media changes quickly as there are dozens of new platforms arrive each year. The year 2017 will also be a host for the variety of new

social media trends, and social media marketing will for sure be one of the most popular digital marketing channels for branding, optimization, lead generations and conversions.

·    Current Outlook of Social Media Marketing in Driving     Customer Engagement- 36%

·    Future Outlook of Social Media Marketing in Driving Customer Engagement- 55%

As social media keeps evolving, it has a massive power to channelize marketing campaigns in innovative and effective ways. Social media is a medium that adeptly responds to new tech innovations, but at the same time, it also exceeds customer’s expectations. Knowing future trends of social media and planning strategy as per that will ensure success for companies. Some of the key social media trends in 2017 are –

·    Enormous evolution of Snapchat is going to be one of the most interesting, powerful and creative trends of social media marketing in 2017.

·   Live video streaming is slowly changing the scenario of social media campaigns, and the trend will see great rise in next year too. Different platforms like Face book live, SnapChat, Twitter, and Instagram all are blending live streaming videos that will let them be a top pick for marketers.

·  Live videos also ensure 10 times more comments than pre-recorded videos, and such qualities will let them dominate social media marketing more efficaciously

·    Instagram stories, social slideshow ads, social chats, etc. would be the top components of social media marketing in 2017.

 

5. Search & SEO Marketing

Search engines evolve constantly, and their changes prompt shift in marketers’ ways of targeting audiences. To succeed, it is important for you to know latest changes of SEO marketing and employing effective search engine strategies accordingly. Mobile marketing and social media optimization has enhanced the frequencies of searches all across the globe, and as per statistics, 14 billion web searches are conducted each month through different search engines.

·    Current Outlook of SEO Marketing in driving Customer Engagement- 21%

·   Future Outlook of SEO Marketing in driving Customer Engagement- 40%

Some of the SEO trends that will turn out to be major hits in 2017 are-

·    Link building will stay as a powerful SEO technique, mobile marketing will rock the house, and along with Google, other search engines will also play significant roles in ensuring great search results.

·   Use of keyword search tools like Google’s Keyword Planner, Moz’s keyword Planner are going to be the most effective trends to know right keywords that your audiences search.

·    Quality content marketing with perfect blending of video content would be another prudent practice that experts think as the most dominant future trend of digital marketing in 2017.

·      Personalizing SEO campaigns as per target audiences, being creative, use of natural links and moving site to HTTPS will be the SEO trend that will decide future of internet marketing campaigns in 2017.

Digital Marketing Industry in India

Digital Marketing industry in India is spread to almost all the business sectors. Some of the applications of E-Marketing are shopping and order tracking, online banking, payment systems and content management. 

The power of digital marketing allows geophysical barriers to disappear making all consumers and businesses on earth potential customers and suppliers. It is known for its ability to allow business to communicate and form a transaction anywhere and anytime.

Digital marketing industry in India is a booming career today. In a country with a rapid growth economy, it is expected to have a very high significant growth in Digital marketing career. The growth in the digital marketing trends is making a very substantial impact on marketing and advertisement. The big picture of Digital Marketing industry in India cannot be complete if short preview of the past digital marketing statistics is not made.

Going back to history,  International Journal of Advanced Research Foundation reveals the following in 2016.

Between 1971 and 1972, The ARPANET is used to arrange a sale between students at the Stanford Artificial Intelligence Laboratory and the Massachusetts Institute of Technology, the earliest example of electronics or digital commerce.

1979: Michael Aldrich demonstrates the first online shopping system.

1981: Thomson Holidays UK is first business-to-business online shopping system to be installed.

1996: India MART B2B marketplace established in India.

2007: Flipkart was established in India. Every E-marketing or commercial enterprises uses majorly digital means for their marketing purposes.

In 2011, the digital marketing statistics revealed that advertising via the mobile phone and tablets was 200% lower than that of the following years. During this year, the net worth was $2 billion. The growth was in a geometric progression as it rose to $6 billion in 2012. The competitive growth demands for more improvement in the career works and professionals are being added to the field.

From 2013 to March 2015, the investment total increase was 1.5 billion dollars over the preceding years. There has been an impressive growth up till this present moment.

The report by the International Journal of Advanced Research Foundation revealed that summarized that India is getting to see the golden period of the Internet sector between 2013 to 2018 with incredible growth opportunities and secular growth adoption for E-Commerce, Internet Advertising, Social Media, Search, Online Content, and Services relating digital marketing.

digital marketing industry in India

Total Media, Digital and Mobile Internet Ad Spending in India (2013-2019)

digital marketing industry in India

Traditional Marketing vs Digital Marketing

In 2017, 80% businesses will increase their digital marketing budget which may surpass the IT budget. Only the illiterates could not access the potentials of the digital marketing because of the accessibility to computing devices and computer education. Many of the people in this category still don’t trust the method of an online payment and they lack training in English Language and other foreign languages to market online in global markets.

The following are the channels that are playing an active role in the development of digital marketing industry in India.

Mobile Marketing

Digital Marketing Industry in India

digital marketing in India

Digital marketing overview reveals that Social media has been playing a supporting role to marketing. Over the years, it has been noticed that 92% of social media users are from the mobile devices. This enables the size of digital marketing industries.

Digital Marketing Industry in India

Mobile Phone Subscribers in India

According to the research made by the Internet and Mobile Association of India (IAMAI, 2008), communication has become a real mass communication tools having about 286 million accounts in 2008. The Indian telecommunications market has tremendous growth opportunities and according to IAMAI is projected to exceed 500 million by 2010. According to TRAI, the numbers of mobile subscriber based in India grew to 980.81 million users in the second quarter of 2015.

Adoption for the mobile device is getting higher day by day. SMS marketing is one of the true mass market media channels across many demographics before the convergence of mobile internet and mobile devices.

Growing need for the visual content has turned video marketing be one of the most appealing trends of digital marketing in 2017.

Email Marketing

Digital Marketing Industry in India

online marketing

Email marketers of some of the most successful marketing agencies claim a return of $40 for every dollar they invested. From the digital marketing overview, it was discovered that well-targeted email marketing will be one of the most effective ways of ensuring conversions in 2017. As shown from the figure below, email is one of the most effective methods for digital marketing as there is a facility to disburse messages to millions of people at a time.

Search & SEO Marketing

Digital Marketing Industry in India

Search & SEO Marketing

As much as changes is existing in the search engines, marketers are also trying shift their ways of targeting audience so as to meet up with the current evolution in Digital Marketing industry in India.

Apart from the above channels through which digital marketing takes place, activities under Digital Marketing industry in India are not limited to social media, email, content, search engine, etc. Digital marketing is either done in-house where companies might hire people for their own or clients’ digital marketing needs. A company may outsource to specialist digital marketing agencies or given to consultants.

SCOPE OF DIGITAL MARKETING

 

Before we understand the scope of digital marketing in India let us first understand about this industry. Digital marketing is a marketing method to promote products in online. So in simple terms, we can say that we are promoting our products to customers who are using the internet. Many concepts of traditional marketing are applicable to digital marketing.

In every era, marketing has evolved based on what the customer is using. If you go back in history, you can see that at times when customers used Radio, it gave birth to radio advertising and marketing. Next, we got the boom of televisions; it is one of the widely used device globally, which allowed the companies to reach a mass audience with TV ads. Even today TV advertising is one of the most used advertising strategies for companies. Since the boom of Internet, more customers started using the Internet, which gave birth to a new era of marketing originally called as Internet marketing, which is now called as Digital Marketing.

To understand the scope of Digital Marketing in Future we must understand its advantages and how it can sustain over the period of time until we get a new generation of communication.

Why companies use digital marketing?

Internet Users:

As per the internet usage stats, as of July 2016, 40% of the world population is using the internet. (i.e) 3.42 Billion Users. The total number of users in 1995 was less than 1% of world population.

As we can clearly understand from the above stats that in next few years more users will be connected to the internet, which gives more scope for digital marketers to reach target audience globally.

Mobile Phones:

Most of the users globally today use mobile phones for communication. As per a report 4.77 billion mobiles phone users globally, which will increase to 5.07 billion by 2019. Today’s majority of mobile phones are smartphones with internet access, which allows to customers to connect with businesses anytime & anywhere.

Targeting Audience:

In traditional marketing strategies, it is very difficult to advertise to the target audience with specific demographics & details. Most of the marketing methods were aimed @ mass marketing of the product. Today with digital marketing we have so many customized & personalized methods to target the audience exclusively.

Ex: Today we can reach an audience by Location, age, gender, education, interests, personal information etc. In fact, we have many advanced strategies to target very specific audience.

Low Cost and High ROI:

Most of the small and medium scale companies rely mostly on digital marketing strategies due to its low cost and high return on investment.

 What is its scope of digital marketing in India for Professionals?

As we know that digital marketing industry is growing, which brings more opportunities to professionals in this industry? Following are opportunities available for professionals.

Get a Job in Industry:

The simple and best way to start your career in digital marketing is to find a job. In digital marketing, we have many different specializations so you will have different options to start your career.

a. Digital marketing strategist

b. Digital marketing executive

c. SEO analyst

d. Social media specialist

e. Google AdWords specialist

f. Email marketing specialist

g. Web Analyst

h. Online reputation manager

.Become a Professional Blogger:

Many digital marketing professionals choose full time blogging as their career choice. With dedication and hard work, many professionals are not successful bloggers in their chosen niche. Bloggers can generate income with advertising & affiliate marketing strategies.

Earn with Affiliate Marketing & AdSense:

You can start your blog/website/app in a specific niche of your interest and initially work hard to build traffic & viewers. After generating good traffic, you can make a good income with AdSense & affiliate marketing techniques.

Start Freelancing Services:

Freelancing is the concept of offering your services to clients on a part-time basis from your home. Sitting at your home you can build your clients globally. Thanks to online websites like fiverr.comfreelancer.com etc. you can start offering your freelancing services.

Start your own agency:

If you have experience in managing a business & have resources, contacts. You can start your own full-time digital marketing agency. With your agency, you can able to build marketing strategies for clients and implement them with digital marketing.

Why digital marketing is the next big career opportunity

India’s digital growth story is both interesting and surprising. The country has embraced digitization so rapidly that it has created a large opportunity for online marketing.

On August 15th, 1995, VSNL introduced public internet access in India. In 2000, only 0.5 percent of the Indian population had access to internet facilities. After 16 years, the figure climbed to 28 percent with 373 million internet users.

According to Cisco’s Visual Networking Index (VNI) report, by 2021, 829 million Indians (59 percent of the population) are expected to take an incredible leap towards internet accessibility. With the transformation from lower-generation network connectivity (2G) to higher-generation network connectivity (3G, 3.5G, and 4G or LTE), there is scope for the broad adoption of video, high bandwidth data, and advanced multimedia applications contributing to increased mobile and Wi-Fi traffic.

Online businesses’ challenges are digital marketers’ strengths

With companies busy running business operations, they cannot invest quality time on understanding top, middle and bottom funnel objectives for an engaging audience. It becomes difficult for them to devote resources to study the ever-changing online marketing landscape.

Digital marketers come to their rescue by lowering the business costs to a great extent as compared to traditional marketing tactics.

  • They solidify the survival and business growth by targeting the right people at the right time.
  • These professionals identify and prioritize the key performance indicators (KPI) by auditing your audience’s behaviour on digital channels.
  • By analysing the performance of online marketing campaigns, they help companies make informed data-driven decisions for optimal customer experience.

Although Indians are second to Chinese in the number of internet users worldwide, India does not feature in the top 50 countries with the highest internet penetration rates. Despite the gigantic stats, we are still scratching the surface. Undoubtedly, digital is the future.

Government’s Initiative: Double boost for digital marketing landscape

For solving affordability and mobile data quality issues in rural areas, the center and state collaborated to give a green signal to National Optical Fiber Network (NOFN). This project aims to provide 100 Mbps broadband connectivity to all the gram panchayats.

For the second phase, Bharat Net- updated and upgraded version of NOFN- envisions connectivity to all 2,50,500 gram panchayats by using an optimal mix of aerial fibers, underground fiber, radio and satellite media. For the third phase, from 2018 to 2023, the focus will be on the future-proof network, state-of-the-art, with a ring topology.

In 2016, United Nations Human Rights Commission (UNHRC) passed a nonbinding resolution to make internet access a fundamental human right. In India, Keralabecomes the first state for adopting the internet as a basic human right. For promoting the digitization moment, the government is working on the proposal of installing optical fiber network for providing internet access to every citizen of Kerala.

Mobile Internet Users: Boon for digital marketers

Indians love surfing internet from mobile: 79 percent of them accessed the internet through mobile in February 2017. Of the G20 nations, they are number one regarding mobile internet usage, leaving behind the UK (34.8 percent) and US (37.2 percent) with a gap more than double.

According to Ashish Kalsi, strategist, search quality of Google India, the Indian internet users tally would go up to 500 million by 2017, out of which 400 million will access the net through a mobile device.

With the entry of Chinese brands, a new line of smartphones have ushered in with big screens, improved user interface, and local language support at an affordable cost.

750 million rural people don’t have proper access to internet facilities. With affordable data plans and mobile devices, the growth of internet usage will increase in rural heartlands. Like urban Indians, they’ll start integrating digital payments, online booking, e-commerce in their daily lives.

 

Future of digital marketing in India? –

The future scope of the Digital Marketing industry is that there will be more points of contact. I visualize a future where advertising like the one we see on Times Square will be taking place in all cities around the World through the evolution of electronic ink technology. 

While all other industries are struggling with a growth rate of 5 to 10 %, digital media industry is booming high with 40% growth rate. But the most remarkable point is that this growth rate is not going to be stagnant in the coming years.

 

Scope for digital marketers in India will only get bigger and better in the years to come. You might feel the need to know as to why is this so and in fact there is nothing wrong in researching something before you dive into it. This is why we have done a research and have come up with some facts and figures that will help you decide the worth of digital marketing before it is too late.

About Digital Marketing

Digital marketing is a booming industry. You will have to work with the analytical part of a website. You need to implement the latest SEO, PPC and CRO strategy. You have to track the visitors and implement the strategy according to the need of the project. You have to do all the client handling and the reporting.

This will open a new door for Digital Marketers to not only run display ads online, but also offline which the consumers will be able to interact with using their mobile phones.

Digital is the communication technology used to market a message. It includes computers, smart phones, cell phones, tables, game consoles. And it uses platforms like websites, email, apps, and social networks.

Marketing is a process. It’s ultimate purpose is to communicate the value of a product or service to people to such a level that the people want to purchase the product or service – or at least, are interested in learning more about the product or service.

The basics of marketing will never change because it involves telling the story of a brand to people. Culture, society, gender, demographics are all environmental and should be a vital part of all marketing efforts – but it still boils down to getting a message in front of people. The message must appear where the target market/ideal customer is already looking.

Digital Marketing will remain as the most powerful way of marketing in the future. Some of my observations on the changing trend of digital marketing are

1. People have started looking for more interesting and informative things on the internet that can help them create value rather than fake and made for marketing type things, hence marketing strategies will move towards creating those kind of assets.

2. Marketing objectives will try to help people get better in their business through one’s own business. Creating and maintaining a network of people who are interested in one’s business will be given priority.

3. As always, ‘content’ will be the most important aspect of digital marketing and again the nature of the content is going to be more specific and deeply researched about a topic, moving away from the perspective of “Selling” to making it more useful for the audience.

4. General techniques like SEO, SEM and Social Media Marketing will be there. However, personalized marketing activities targeting specific set of audience and influencers will be given higher importance.

5. Automation in marketing will emerge more effectively and will be predominant in future.

How this course makes you a complete internet marketing professional

  • Digital Marketing Fundamentals
  • Website Planning, Designing & Creation
  • Search Engine Optimization (10 Days)
  • Search Engine Marketing (SEM/PPC)
  • Social Media Marketing  /Affiliate Marketing
  • Online Reputation Management
  • Geo Targeting- International Targeting
  • E-Commerce. /Content Marketing & Management
  • Web Analytics /Video Marketing
  • Email Marketing /Fundamental of Adsense
  • WordPress/Blogging
  • Mobile Marketing  /Earn Money as Freelancer

WORKING PROFESSIONALS

Professionals who seek to improve the performance of their digital marketing campaigns. Who want to ready themselves for new role as Digital Marketer?

INDIVIDUALS BEGINNERS

Individuals / beginners seeking career opportunities in the digital marketing domain. Entrepreneurs or affiliate marketers who want to use digital media to improve their business performance. Students with a management or engineering background.

MARKETING PROFESSIONALS

Marketing professionals who use digital marketing to meet their objectives. Professionals in marketing/ publishing/ e-business/advertising.

WEB MARKETERS

Web marketers who want to enhance their professional prospects in the marketing domain. IT professionals who want to expand their career horizon..

BY MUKESH KUMAR, CHAIRMAN, IT & ITes  SUB COMMITTEE , BIHAR INDUSTRIES ASSOCIATION ( BIA) . Mail : rgsspatna@gmail.com, Mobile No. 9431074202

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What is an industry? Definition and meaning

  1. The manufacturing or technically productive enterprises in a particular field, country, region, or economy viewed collectively, or one of these individually. A single industry is often named after its principal product; for example, the auto industry.
  2. Industry is the production of goods or related services within an economy. The major source of revenue of a group or company is the indicator of its relevant industry. When a large group has multiple sources of revenue generation, it is considered to be working in different industries.Industry classification· ‎Outline of industry · ‎Information industry · ‎Chemical industry

The Making of Digital India

Like many things else, there are two sides to the technology story, especially in the Indian context. Information Technology or IT has become a major contributor to the GDP growth in India, largely driven by the IT services industry. Today, India is a force to reckon with in the IT/ITeS domain on a global scale, powering some of the biggest companies on the planet. And yet, in spite of revolutionizing the IT Services business, there has been little change wrought by IT back home. Adoption of technology, especially in the government domain (which has a mass rural interface) has been rather muted and slow in the uptake. For years, Indians across the spectrum read stories about the magic of IT, and yet were untouched by it.

But all that just might change, as the Indian government under the leadership of Prime Minister Narendra Modi has launched one of the biggest digitization programs, on a scale that has not been heard of before. In August 2014, the BJP government launched Digital India, a comprehensive program that aims to change the lop-sided scale of IT adoption in the country. The program essentially hinges on the core idea of laying a digital network on which services will be delivered in a transparent and timely manner. The four core areas of the program are:

  • Rural Broadband for All
  • Universal Mobile Access
  • Wi-Fi in Varsities
  • Public Wi-Fi Hotspots

 

 How is India becoming digital?

This was the question that eight technology experts addressed on the first day of EmTech India 2017—an emerging technology conference organized by Mint and MIT Technology Review.

  1. Chandrasekhar, president of software industry group Nasscom, said while the journey to digitization has begun, it is a matter of accelerating the pace at which it is happening.

“There is a World Bank report which says that a 10% increase in broadband penetration (in India) can lead to a 1.4% increase in GDP (gross domestic product), making Internet important for enhancing the growth of the economy.”

However, this won’t be possible without government participation. “Regulation is not a driving force for growth, but it can be a roadblock. So, government plays a critical role for creating appropriate policy framework and provide infrastructure and enable a secure and safe environment for digital transactions to take place,” he said.

So far, innovation has been for ‘India 1’—the first 100 million Indians—said Rajan Anandan, vice-president India and south-east Asia at Google Inc. “These are consumers who have high personal disposable income, they are well connected and well educated. Way forward, we will see problems being solved for ‘India 2’ and ‘India 3’—the next 200 million to 600 million Indians,” Anandan said.

He explained, “the next wave will be of great companies that are must-have solutions. For instance, healthcare challenges cannot be solved by an app. These companies are going to be full-stack that will include hardware and software. They will require new kinds of technical skills and deep domain expertise, who will require different kinds of capital in larger quantum’s and which is patient.”

In India, Google has so far made 120 railway stations Internet-enabled, through a partnership with Indian Railway Catering and Tourism Corp. (IRCTC). Anandan said Google registers about 15,000 people daily who are using Internet for the first time through this medium.

In two to three years, about 600 million Indians will access internet through broadband, Anandan said.

The government has launched a National Digital Literacy Mission (NDLM) that has penetrated rural areas, Chandrasekhar said. “Under the initiative, 8.2 million people have already been trained by 2016, surpassing the target of NDLM training 5.2 million by 2018,” he added.

“By 2015, 2.7 billion people were live on Internet; we saw internet use increase 60 times, largely from Asia Pacific. Market capitalization of consumer internet companies rose by 150X and innovation investments shot up 6x,” said Boston Consulting Group’s Marc Schuuring (partner and managing director, Amsterdam) and Rajiv Gupta (partner and director, New Delhi) in a presentation.

“Come 2017, GDP growth is flat, internet growth is down by 40%, population growth (rate is down) by 50%, smart phones growth is -65%, but internet user growth in India is at 40%,” they added.

This trend is a confirmation that mobile has become the first source of accessing Internet in India, skipping computers or laptops.

BCG forecasts technology will make a deep dive into artificial intelligence: customer support service chat bots, advanced forecasting, talent acquisition and AI-enabled psychometric profiling.

Face book sees over one billion user generated posts every day, over 100 million hours of video consumed and over two billion photos shared, said Umang Bedi, the company’s managing director, India and south Asia. The company claims to have the highest personalized newsfeed for any user owing to its robust artificial intelligence and machine learning technology.

But innovation is not limited to the likes of Face book Inc, Google Inc, Apple Inc. or Microsoft Corp. Tata Sons Ltd presented a series of technology-led solutions the group is working on.

“We have newly launched Tata Insights and Quant’s (built on Big Data analytics, currently for internal use), Tata Digital Health (technology to connect patient with doctors and create healthcare based solutions) and Tata Cliq (the group’s foray into e-commerce). Those are business incubation being carried out from the group and we’re careful moving into the future and creating the future as we speak.” said Gopichand Katragadda, group technology and innovation officer, Tata Sons.

DIGITISATION IN INDUSTRY SECTOR IN India to grow to 65 % in next five years
Related: Digitisation in India
  • 53% of the industrial companies in India are using data analytics and more than 90% expect data to have a significant impact on their decision-making in five years
  • Only 17% of the respondents in India rated their maturity in data analytics as advanced while the majority (62%) rated it as medium
  • 39% of the companies plan to invest more than 8% of their annual revenues in digital programmes in the next five years

Mumbai: Digital is now a priority for most CEOs of industrial companies in India. Industrial leaders are digitizing essential functions within their internal vertical operations processes and are focused on driving both revenue growth and operational efficiencies.

According to PwC’s Industry 4.0: Building the Digital Enterprise report, more than a quarter (27%) of the industrial companies in this survey have rated their level of digitisation as high, and this value is expected to rise to 65% within the next five years in India. Globally this number is expected to grow from 33% to 72% during this period.

Industrial companies in India and Asia-Pacific have the advantage to leapfrog ahead of those in the developed economies given their Greenfield starting positions. As a result, they have fewer legacy issues pertaining to outdated systems, processes, technological capabilities, etc., which need to be addressed.

In order for industrial companies to leverage the full value of Industry 4.0, they need to overcome key challenges. These include lack of a clear digital operations vision from the leadership (45%), lack of skills in data analytics capabilities (53%) and fostering a strong digital culture (41%). Operational disruption from cyber security breaches is another top concern for Indian industrial companies. Overcoming these challenges will enable them to reach their potential and objectives of digitisation by 2020.

Sudipta Ghosh, Leader – Data and Analytics, PwC India said, “For an emerging economy like ours with a very strong focus on the growth agenda, it is only natural that Industrial Products sector will leverage the technological breakthroughs for building its digital ecosystem. This will enable them to add significant value to their customers by knowing how the product is being used and will also drive efficiency improvements across the value chain.”

Bimal Tanna, Leader – Industrial Products, PwC India said, “The manufacturing industry today accepts that digitisation is no longer a luxury for organizations’, but a necessity to drive revenues, efficiency and profitability in the future. Progressive Indian industrial companies are willing to invest heavily in digitisation technologies such as sensors or connectivity devices as well as software and applications such as manufacturing excellence systems. Investing sooner and spreading out investments over time will enable companies to avoid huge capital investments later on.”

As per the report, at the end of this transformation process, successful industrial companies will become true digital enterprises, with physical products at the core, augmented by digital interfaces and data-based, innovative services. These digital enterprises will subsequently work together with customers and suppliers in industrial digital ecosystems. Furthermore, these developments will fundamentally change individual companies as well as transform market dynamics across a whole range of Industry 4.0 is driven by the following:

Digitization and integration of vertical and horizontal value chains
Industry 4.0 digitizes and integrates processes vertically across the entire organization—from product development and purchasing to manufacturing, logistics and service. All data about operations, processes, process efficiency and quality management, as well as operations planning, are available in real time, supported by augmented reality and optimized in an integrated network. Horizontal integration stretches beyond the internal operations from suppliers to customers and all key value chain partners. It includes technologies from track and trace devices to real-time integrated planning.

Digitisation of product and service offerings
Digitisation of products includes the expansion of existing products, for example, by smart sensors or communication devices combined with data analytics, as well as the creation of new digitised products which focus on complete integrated solutions. By integrating new methods of data collection and analysis, industrial companies are able to generate data on product use and refine products to meet the increasing needs of end customers.

Digital business models and customer access
beyond providing digitally enhanced products, leading industrial companies expand their offering by providing disruptive digital solutions such as complete, data-driven services and integrated platform solutions. Disruptive digital business models are often focused on generating additional digital revenues and optimizing customer interaction and access. Digital products and services are often part of serving customers with a complete solution in distinct digital ecosystem industries.

 MANUFACTURING DIGITIZATION AND AUTOMATION – INDUSTRY 4.0

It was apparent at the CeMAT fair in Germany in the fall how actively Industry 4.0 is discussed internationally. Its benefits are seen as highly significant and a lot of investments are being made in it. Industry 4.0 is a vision on how manufacturing in the future will be more customer-oriented, automated, flexible and faster. The intelligence of the systems manages automation and people digitally. I am very concerned on how little manufacturing digitization or Industry 4.0 is discussed in Finland.

The expectations from Industry 4.0 are really high: different studies repeatedly talk about ‘quantum leaps’ (Here you can review one study from a Finnish perspective). The studies often discuss 30 % cost savings. Lean ware has experience on how Lean ware  MES at different sites has eliminated, 25 % of unnecessary work, increased flow by 100 %, reduced scrap by 20 % and improved throughput by 30 %. Manufacturing digitization is not hype, as it is generating excellent results already today.

Digitization does not mean eliminating printouts from manufacturing. A weak process is not improved by using a tablet instead a sheet of paper. Industry 4.0 and digitization allow building new, much more efficient processes. Therefore, Industry 4.0 applies to all of the processes in a company: sales – purchasing – logistics – different manufacturing phases.

Personally, I divide Industry 4.0 into two parts. The first, the ‘practical part’ is already here and the technologies are well-known and already in use. Good examples include the Agco Power engine plant in Linnavuori and certain ABB units. Manufacturing is managed digitally in these instances and batch sizes are one or very small, manufacturing transparency and the ability to react is excellent. Instead of several systems, the process generates traceability and process data using a single MES while performing other functions.  Automation is integrated as a seamless part of manufacturing. People and automation work effectively side-by-side. The other part of Industry 4.0 could be called the ‘hype’. This is associated with technologies that are not yet sufficiently cost-effective or tested (e.g. self-organizing manufacturing equipment or hyper-flexible automated storage units). The lesson is that there is no need to wait for Industry 4.0. It’s already here.

What is stopping us Finns? According to studies and my personal experience, we are hindered by lack of either expertise or vision. One must have the courage to create the digitization roadmap. According to my experience, I would estimate that only 10 % of companies have clear goals on developing manufacturing via digital means. The other 90 % have manufacturing problems that they are seeking to resolve. The first group engages in persistent and systematic development work. They take the first, controlled step by designing an intact data architecture to support digitization. This result in several important things starting to occur for the future: the master data starts to improve and become more rich, credible data is received from manufacturing for analysis and the first accomplishments in the arena of real-time operations are recognized.

Another factor preventing adoption is culture. Very many factories operate the way they do, because ‘ERP works that way’. When you want to move toward the Industry 4.0 vision, manufacturing has to envision streamlined ways of manufacturing products. The rigid features of ERP can no longer hinder progress. The Industry 4.0 vision often requires MES and WMS software to integrate manufacturing with material automation, for example.

Where should one start manufacturing digitization? There isn’t actually a single right way of deciding where to start, but usually the starting point is either digitizing the work queues and instructions or material management. Lean ware has very good experiences from both starting points. Starting with work queues is justified, for example, by short phase times, customized mass-production, and quality problems in manufacturing. Starting with material logistics may be justified due to a large number of SKUs, moving to picking for manufacturing, material automation and problems with material sourcing.

Studies indicate a 30 % increase in efficiency, speed, quality and flexibility. We would gladly come see what Industry 4.0 could mean for your company and what you should use as your starting point.

Future of Indian IT is digitization

Digitization is changing the way clients are thinking about their businesses

The accelerated pace of innovation, brought about by rapid technological development, was one of the key areas of discussion at the recently concluded World Economic Forum in Davos. It was widely acknowledged that technological disruption is changing market landscape and business models across the globe. In a world that is becoming more and more technology-intensive, that is hardly surprising.

In India, the information technology (IT) industry has had a phenomenal run. The industry went past the $100 billion mark in 2012 and is expected to treble to more than $300 billion by 2020, according to Nasscom estimates. The role of IT in business is shifting from that of an enabler to a strategic partner. The explosion of data is making it necessary for businesses to proactively adopt technology in order to differentiate themselves, and the digital wave is turning out to be a disruptor across industry verticals.

For the IT industry, digitization is changing the way clients are thinking about their businesses and how they can increase their competitiveness for future success. They are now looking at the IT industry to partner them in driving business transformation and to advise them on leveraging new technologies to meet unique business challenges. IT has transcended business functions and is engaging with not only CIOs (chief information officers) and CTOs (chief technology officers), but also CMOs (chief marketing officers) and CFOs (chief financial officers).

Digitization is driving greater innovation, helping improve service levels as well as outcomes. In healthcare, for example, patient information recorded on smart devices and stored on the cloud is helping doctors monitor patients’ status remotely and improve effectiveness of critical care. Telemedicine is fast gaining acceptance in serving economically disadvantaged populations.

In the area of car insurance, the “connected car” is allowing insurers to track people’s driving habits and routes to customize premium payments and claims. Life and medical insurance companies are also tracking individual health and activity via wearable devices (such as wristbands) embedded with electronics that record physical movements, pulse rates and sleep cycles. In banking, a combination of mobility and biometrics (collected through programmes such as Aadhaar) is enabling branchless banking and leading to greater financial inclusion.

The disruptive nature of digitization, coupled with a strong domestic demand for technology initiatives that help improve operational efficiency and effectiveness at optimal costs, has already led to successful start-ups and innovative solutions that are ready to be scaled further. Retail, healthcare, telecom and banking sectors in India have seen new customers engage with them for the first time via non-traditional channels. This will bring sustained growth to the Indian IT industry. The solutions developed here are finding takers in international markets as well.

We need to capitalize on these advantages and take them to the next level. Faster adoption of coming trends, such as the Internet of Things (IOT), can help bolster our position as an innovation hub on the world map. IOT is about connecting all electronic devices to the Internet to enable remote connections and machine-to-machine interactions. Its implications are immense and it can potentially change the way technology products and services are positioned. But it will require new support systems.

The Indian government is taking a keen interest in facilitating the implementation of the new IPV6 form of Internet addresses, a more sophisticated and secure network for IP (Internet Protocol) addresses. Efforts are also being made through initiatives such as the National Skills Council to ensure that academia is equipping fresh graduates with industry-relevant skills so that there is adequate supply of appropriately skilled resources for future opportunities.

What all of this also means to the IT industry is that more than ever, we must rethink our value proposition and transform the way we engage with our clients. In India, we have had the advantage of having leapfrogged certain stages on the technology adoption curve. Our sound technical skills have allowed us to move up the value chain and secure our place among the top in the global technology revolution.

In order to sustain this momentum, we need to recognize that our markets present ample opportunities. Our large mobile device user base and Internet access via newer 3G (third-generation) and 4G (fourth-generation) technologies open up strong domestic opportunity for IT-driven solutions. In addressing challenges that local markets face, we are developing solutions that are affordable as well as innovative.

All this will help the Indian IT industry further reinforce its reputation of being a value-driven player. Most technology breakthroughs may have traveled from the West to the East in the past, but the future is about India becoming an innovation leader.

Indian IT industry eyes digitization, automation for growth in 2017

Having shifted gears from its focus on 'enterprise services' to 'enterprising solutions' in 2015, Indian IT industry is betting big on digitisation and automation to maintain its growth momentum in the New Year. 

The $140-billion industry will also look for a helping hand from the entrepreneurial zeal of startups as it seeks to maintain its dominant position in the global market in 2017. 

"Future growth will come from a combination of higher value services, increasingly non-linear play and further extension of the sector's cost proposition," industry body Nasscom's Senior Vice President (Events, Research and Communication) Sangeeta Gupta said. 

Digitisation, Internet of Things, agile entrepreneurial ecosystem and improving business environment will continue to dominate the industry in 2016, 

What are the digital industries of tomorrow?

There is widespread recognition that the role of digital technology has shifted from being a driver of marginal efficiency to being an enabler of fundamental innovation and disruption.

Take the healthcare industry, for example, which historically has been one of the few sectors that is not particularly consumer-centric. When sick, one often has to settle for appointments that are neither imminent nor convenient and deal with long waiting times at the doctor’s office while surrounded by other ill patients. The introduction of digital healthcare services, which place the patient firmly at the heart of their activities, will be the biggest single factor in transforming healthcare over the next decade. In fact, few industries have the potential to be changed so profoundly by digital technology.

The two big shifts in this space include point of care (for instance, moving care closer to home) and disruptions to the level of care (such as the move from high-cost, specialized labour to self-care). The home will become an important location of care and virtual care will broaden access to healthcare in rural areas, especially in emerging economies. This will result in healthcare systems that will focus less on building beds and more on developing services to provide improved access to care at a lower cost.

With around $7.5 trillion spent globally each year on health, the rewards are likely to be substantial for the healthcare industry as it successfully creates transformational digital services on a wider scale.

True innovation often stems from smaller, nimbler, non-traditional players who use advances in computational technologies and wide proliferation of data to fill key technology gaps in healthcare. Health start-ups like Cast light, Healthcare and Stride health, for example, have been able to develop cloud and analytics-based solutions to drive greater price realization, enable greater patient health insights and help patients take better control of their healthcare. Health Tap, the Uber or Airbnb of the healthcare industry, uses an interactive app to deliver real-time remote care by providing virtual care solutions on a patient’s Smartphone. Via its virtual platform, Health Tap connects over 64,000 doctors with patients globally to offer on-demand patient treatment services through its app, 24 hours a day, seven days a week.

Healthcare is only one example of a sector that is witnessing fundamental transformation. With the introduction of autonomous vehicles and the connected traveler steering the future of the industry, digitalization will drive more innovation in automotive in the next 20 years than there has been in the last 100. This is a phenomenon not only taking place in the West. In emerging markets, access to affordable transportation is one of the most important factors in lifting citizens out of poverty. Integrated multi-modal transportation networks will provide lower travel costs while greatly expanding transportation options. This has the potential to make inclusive access to affordable transportation a reality, while also positively impacting the environment.

Most other sectors are equally impacted by digitalization, and this will happen on multiple levels. It creates new consumption patterns through trends like the sharing economy and hyper-personalization. New production and delivery capabilities will allow organizations to harness digital technologies to find more efficient ways to deliver products and services, while 3D printing and crowd sourcing offer new ways to think of manufacturing and logistics processes.

The ability to capture and interpret data more efficiently and accurately than ever before, for applications such as predictive modeling and asset optimization, will drive businesses increasingly towards data-centric business models. Digitalization will also require new skills and capabilities in the workforce. As such, organizations will need to understand how to identify, capture and retain these skills.

The World Economic Forum launched its Digital Transformation of Industries to address the opportunities and risks of digitalization in a cross-industry and multistage holder setting. It constitutes an ongoing initiative that serves as the focal point for new opportunities and themes arising from latest developments and trends from the digitization of business and society. The digital transformation is one of the most fundamental drivers of transformation ever and at the same time a unique opportunity to shape our future.

The Digitization mega trend

By the year 2020, an entire generation, Generation C (for “connected”), will have grown up in a primarily digital world. Computers, the Internet, mobile phones, testing, and social networking— all are second nature to members of this group. And their familiarity with technology, reliance on mobile communications, and desire to remain in contact with large networks of family members, friends, and business contacts will transform how we work and how we consume.

The phenomenon of digitization is reaching an inflection point. The effects of an increasingly digitized world are now reaching into every corner of our lives because three forces are powerfully reinforcing one another:

  • Consumer pull:Consumers, and particularly Generation C, are already fully adapted to the digital environment. They naturally expect to be always connected, are willing to share personal data, and are more likely to trust referrals from their closest friends than well-known brands.

 

  • Technology push:Digital technology continues to expand its influence. The infrastructure backbone of the digital world is bringing affordable broadband to billions of consumers. In parallel, low-cost connected devices are being deployed in every industry, and cloud computing, and the vast information-processing machinery it requires, is developing quickly.

 

  • Economic benefits:The economic benefits to be captured through digitization are real. A wave of capital has poured into the new digitization technologies and companies, and the public markets reward early movers with unprecedented valuations

 

Greater productivity in industry thanks to digitalization

 Technologies and products for the industry from the comprehensive electrification, automation and digitalization portfolio

  • End-to-end automation for the manufacturing industry ("Digital Enterprise")
  • "Effortless Communication" simplifies administration of large machine and plant networks
  • Totally Integrated Power: an integrated approach for a future-oriented power supply

Digitalization has developed into a decisive lever for growth in practically every sector of industry. Because digitalization is the central key to greater productivity, efficiency and flexibility, it forms the focus of the Siemens presentation at the 2015 Hannover Messe. Speaking at the press conference prior to the fair, CEO of the Digital Factory Division Anton S. Huber said: "True gains in efficiency can only be achieved today by optimizing and networking systems and processes along the entire product and production life cycle. Digitalization opens up whole new scope for producing companies to develop and manufacture products and solutions quickly and efficiently. Anyone who consistently leverages these opportunities will benefit from a decisive competitive edge". Over an exhibition area of 3,500 square meters, the Siemens booth D35 in Hall 9 will feature a wide range of solutions and products from its group-wide growth fields of electrification, automation and digitalization under the banner "On the way to Industry 4.0 – Driving the Digital Enterprise". As well as the integration of renewable energies into the energy system, a variety of industrial solutions such as Totally Integrated Automation (TIA), Integrated Drive Systems (IDS), Industry Software and plant data services will all be featured in the Siemens presentation. Also located within the booth will be the "Digitalization Forum", where Siemens will be presenting concrete examples of digital technologies in application in the manufacturing and process industry as well as machine building.

 

Sustainable solutions for the process industry

 Siemens is also breaking new ground in the process industry. "Current market trends are moving in the direction of modularization, digital mapping of production steps and communication between the individual machines in the plant," said Peter Herweck, CEO of the Process Industries and Drives Division. "With our portfolio for the process industry, we offer sustainable solutions from design and engineering to maintenance and modernization." At the stand's "Digitalization Forum," a hydraulic circuit demonstrates digital integration of a component in the existing plant. Planning and engineering with the software solution Comos in conjunction with the Simatic PCS 7 process control system enable data from engineering and automation to be pooled. Comos Walk inside visualizes the integration realistically in 3D.

A key step toward the digital plant is simplified administration in industrial networks. Siemens is presenting a current project on this topic at the Hannover Messe: "Effortless Communication." Assignment of addresses from engineering is relocated to the automation devices. As a result, devices can automatically assign themselves unique addresses without the need for a central instance such as an address server. Moreover, the system simplifies the use of remote services and increases their security. The results from the project might be used to build and run future production networks.

 

Future-oriented, cost-effective power supply

 In order to master the growing complexity of energy systems resulting from greater integration of renewable, these systems have to become more agile and smarter in the coming years. That means industrial power grids will also become more digital, in other words, be equipped with more means of measurement, automation, control and regulation. As part of this digitalization, industrial enterprises face new challenges when it comes to increasing their plants' efficiency, ensuring supply security and protecting increasingly complex plants and systems against overloading or short-circuits by means of state-of-the-art concepts. That requires intelligent hardware and software products such as monitoring systems and measurement equipment: End-to-end energy management at the campus is needed. Increasing local power generation, including at their own plants, means that the way industrial companies interact with power suppliers is changing. This calls for new planning and energy management concepts for grids and plants in order to ensure a robust, cost-optimized power supply. "With Totally Integrated Power (TIP), we offer an extensive package for a future-oriented, cost-effective power supply with intelligent and digital solutions from planning to operation," says Ralf Christian, CEO of the Energy Management Division. Siemens has bundled its power distribution portfolio in TIP and specifically offers industrial enterprises end-to-end solutions that enable energy systems to be planned, controlled, protected and optimized cost-effectively. They comprise software and hardware products, systems and solutions for all voltage ranges – from high-voltage power supply to the low-voltage consumer – which can be integrated in industrial automation technology thanks to intelligent interfaces. As part of its protection concept, Siemens is also presenting in Hanover an enhanced version of the communication-capable compact circuit breaker from the 3VA series for low-voltage power distribution. Compact 3VA circuit breakers are the heart of electric power distribution and ensure fault-tolerant, highly available production processes. Extensive data is also available to engineering and can be integrated in all common planning and project management tools.

MUKESH KUMAR, CHAIRMAN, IT SUB COMMITTEE ( BIA ) ,06.12.2017 E-mail Id : rgsspatna@gmail.com, Mobile No. 9431074202

 

 

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Hybrid IT continues to Fuel Digital Transformation

 

Hybrid cloud and digital transformation work often connect in three key ways

Using digital to transform your business model. 

 

Using digital to optimize a business function

 

  1. Business model transformation

In this category, an organization needs the ability to build and test new concepts quickly and efficiently, without running existing Operating model transformation

Let’s stick with the example of IT itself transforming its traditional approaches to operations via automation and orchestration tooling. Here, Budges sees his clients most often beginning their experimentation in on-premises environments. 

  1. Business function optimization

Hybrid cloud and multi-cloud play a significant role here as IT groups move toward a multi-cloud approach for running critical business applications that support their business processes. Budge explains: “We’re finding that public cloud is seeing a good deal of interest for non-production, disaster recovery environments, and long-term data retention uses – which all tie back to cost optimization of the digitization of business processes.

Transforming to a Hybrid Infrastructure

 

Enterprises must evolve rapidly to stay competitive in our modern, fast-paced world. This puts a strain on IT and can lead to a chaotic mix of workload-specific hardware platforms and shadow IT that is costly, difficult to manage and high-risk

Hybrid IT combines the right mix of traditional IT, private cloud, and public cloud to meet your business and IT goals, so you can integrate new technologies where needed and maintain legacy

Drive innovation from the core of your data center

 

Successful IT infrastructure transformations are structured to minimize disruption while maximizing results. With a clear roadmap, you can improve operational speed, gain control over IT

Workload Placement in a Hybrid IT Environment

 

Transforming to hybrid IT starts with identifying which workloads work best in which environments to strike the ideal balance of cost optimization, security, performance and business agility

Financial impact of digital transformation

Payors that employ the four levers could achieve a large near-term reduction in SG&A costs. The exact amount would vary from payor to payor, given the broad dispersion in individual carriers’ per-member administrative spending.

Using digital for organizational transformation

Today, most health insurance companies are siloed organizations that have been optimized for specialization and efficiency in performing current processes (in essence, the companies use a divide-and-conquer approach)

Break your functional silos

The next step is to build a cross-functional team for each prioritized customer journey and encourage an extraordinary level of cross-functional collaboration.

 

How healthcare systems can become digital-health leaders

Translate digital ambitions into resource allocations

Most companies establish their capital budgets each year by adding similar percentage increases to each line of the previous year’s budget. This approach is not compatible with true digital transformation. This is not to say, however, that the IT budget needs to increase dramatically. Rather, money in the existing budget should be shifted toward the prioritized digital investments.

Focus on talent

Digital transformation involves new ways of working and thinking. Senior leaders should take concrete steps to ensure that their organizations have the necessary digital talent by identifying and retaining existing talent and bringing new talent in the door.

Start from the customer

Senior leaders should begin by understanding the key journeys taken by their external stakeholders—consumers, providers, employers, and brokers

Maximize the value of two-speed IT

It is not realistic—or appropriate—for a payor to jettison its entire legacy IT infrastructure when beginning the move toward digital transformation. Two goals should be pursued instead: to adapt as much of that infrastructure as possible so it can support new digital approaches, and to find methods that would allow new projects to “fail fast” (within months, not years).

Hybrid IT in action: Systems of innovation

Progressive CIOs have another significant thing in common; they know how to maximize their investment in legacy IT systems, and apply that solid foundation with the adoption of new platforms.

Why Digital Transformation is Driving Hybrid Cloud to Dominate in APJ

 When combined - enable them to achieve superior transformation results

 

They offer resilience against the threat of business disruption

 

In the Digital Transformation Index (DTI) study sponsored by Dell Technologies, nearly six in 10 APJ organizations (58%) say they are uncertain what their respective industries will look like in three years’ time.

 

Hybrid clouds offer a sustainable approach to innovation

 

According to the DTI, disruption is necessitating investments in infrastructure while keeping cost of operations lean. Seven in ten businesses are incentives to invest in new IT infrastructure and digital skills, but only if there is no cost increase (Digital Transformation Index).

Enable the region’s leapfrogging to advanced technologies

 

The APJ region has the potential to lead IT transformation in many areas, and it is already leading in some. IDC reports that APAC has the fastest growing robotics market, and it will soon become the frontline for IoT worldwide. There is a positive inclination in more than half (53%) of APAC organizations to use big data and analytics for their business.

Hybrid Cloud – is it really the future of enterprise IT?

 

Cloud computing continues to evolve at an unprecedented rate and plays an important role in most modern organization’s technology strategy in one way or another. As the momentum of cloud continues, there is one question that still remains unanswered – is hybrid cloud really the future of enterprise IT?

 

Is there really an appetite for hybrid cloud today? 

 

Industry analysts and researches have been skirting around the topic of hybrid cloud for a long time, particularly as adoption of public cloud has become increasingly more established and mainstream in the last few years

 

But hybrid cloud is just a buzzword that doesn’t really mean anything? 

 

In the early years of cloud computing, it was safe to say that hybrid cloud was nothing more than an ambitious concept than a practical reality, perhaps a buzzword. However, this is no longer the case - as cloud technology continues to rapidly evolve, the enterprise-ready solutions that are available to fulfill this once ambitious concept have evolved in equal measures too. 

Are there practical benefits of adopting a hybrid cloud strategy? 

 

In short, yes – there are a number of practical benefits that shouldn’t be overlooked by business and IT leaders who are considering hybrid cloud as the next step.   

First and foremost, flexibility and versatility are both top of that list. Adopting a hybrid cloud strategy allows for the optimal placement of workloads, applications and IT services depending on your specific criteria.

  • The Digital Transformation Roadmap in Plain

Technology is evolving—we as business leaders must adapt or risk the chance of extinction.

The Evolution of the Datacenter

Digital innovation fueled the sharing economy and will continue to fuel further tech disruptions. It’s happening right now with Internet of Things (IoT). The growing adoption of IoT will re-define what the business process, how we make decisions, and how consumers interact with brands. Technology is evolving and business leaders must adapt or risk the chance of extinction.

Infrastructure 1.0: The Traditional Datacenter

Most of the global economy is living and operating in the traditional datacenter. A datacenter that’s inherently complex, time consuming, and expensive to manage—and up until now that that was the norm. Today that’s not the case.

Infrastructure 2.0: Hyper convergence—a step closer.

The market responds with hyper convergence—the virtualization and consolidation of compute and storage. Hyperconvergence brought attention to the growing complexity, slow applications, and costs that inhibited business growth, and it did so by eliminating many of the manual steps traditionally required for IT to scale and respond to market demand change.

Infrastructure 3.0: The Digital Business Foundation

Success in the digital economy requires every company to become a software company, and to do this the datacenter must evolve. To be a true software company, the business has to adopt a holistic, software-defined infrastructure—consolidating compute, storage, and network—to create a foundation that can embrace digital innovation principals necessary for success.

Hybrid Cloud Spurs Innovation, Customer Satisfaction

C-suite executives overwhelmingly say that hybrid cloud solutions are facilitating innovation and helping them to more readily meet customer expectations,

 "Tailoring hybrid cloud: Designing the right mix for innovation, efficiency and growth," on Thursday, that finds companies who embrace cloud are able to expand into new industries (76 percent), create new revenue sources (71 percent) and create new business models (69 percent).

  • Hybrid Infrastructure – the underlying technology whether from your own private on-premise cloud, or hosted by a cloud provider, somewhere there has to be some hardware.
  • Hybrid Applications – you probably have on premise applications, SaaS applications, and probably some hosted applications.
  • Hybrid Processes – business processes that may touch many different applications or resources.
  • Hybrid Resources – pools of people both inside and outside your organization who can be used to deliver some aspect of your end to end value chain

Transformation 'is a permanent effort'

Digital transformations aren't a one-time IT project or objective that is ever really completed, according to Nejam.,  MICROSOFT

"In a city like New York, transformation isn't something you do once or twice; you do it all the time," Nejam said. "It's a permanent effort."

This is why Microsoft has continuously updated and modernized its business applications products, offering hybrid Dynamics 365 options and cloud-based Office suite products

Can the network help my cloud? Can cloud help my network?

The cloud and the network are critical components in business transformation. How you can utilize both to benefit your organization?

Networks for cloud

If you did a word association poll on cloud, "agility" would surely be among the top five. Cloud enables organizations to adapt and innovate faster. Unfortunately, yesterday’s infrastructure was not built with this design principle in mind. The paramount consideration was reliability, and the traditional convention (which digital leaders such as Amazon and Netflix are proving needs to be reconsidered) was that reliable systems did not change. We all know that a majority of organizations still have multi-layered change order procedures passing through multiple approvers, all intended to protect the data center and the enterprise network from change. (Yikes!)

Cloud for networks

Keep in mind, it’s a two-way street. Cloud services can help the network run better, too. Owning, updating and operating network management tools and control software can take a lot of time from your team. Today, most network admins still manage too many infrastructure elements that require per device interaction at a variety of locations. To reduce this, vendors offer management and control software to centralize functions, but this new software is yet another specialized system to learn, deploy, maintain and repair.

MUKESH KUMAR

CHAIRMAN

IT & ITes SUB COMMITTEE

BIHAR INDUSTRIES ASSOCIATION ( BIA)

DIRECTOR

R G SOFTWARE & SYSTEMS

rgsspatna@gmail.com,   Mobile No. 09431074202

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