7 Domains Benefiting from Big Data and Machine Learning

The wonders of Big Data and Machine Learning are already dazzling the world. Whether it is driverless cars, quick-wit from robots, or Facebook chatbots that had to be shut down, it is safe to say that no aspect of our life stays untouched from AI and Machine Learning. Having said that, there are several fields that are making key progress in leveraging Big Data to revolutionize the way they function, conduct business, and more importantly the way they envision the future. Here is a glimpse of each:

Manufacturing For a long time, the manufacturing industry was associated with a slew of problems – health risks, worker unions, poor optimization methods, and what not! However, technology and Big Data Analytics (BDA) to be precise emerged as a game changer and is now taking the factories and production units to the next level. Big Data Analytics and Machine Learning are making factories smarter with computerization of manufacturing processes, optimizing quality checks, improving accuracy and quantity of production, and promoting 3D printer factories and MaaS (Manufacturing-as-a-Service) with better collaboration. Read more

Healthcare Apart from helping hospitals and companies to cut down on costs and increasing profits, analytics has been instrumental in improving the quality of life by helping to diagnose diseases, determining the most effective course of treatments, and decreasing the overall mortality rate. As Charles Doarn, director of the Telemedicine and e-Health Program at the University of Cincinnati puts it, “Our healthcare system is in desperate need of reform, and technology is one of the tools that can help. It can be a paradigm shift in how we practice medicine.” Read more

Government Initiatives Thanks to the Union budget 2018, the NITI Aayog will initiate a national program to direct efforts in Artificial Intelligence, and the Department of Science and Technology will launch a Mission on Cyber-Physical Systems to support the establishment of centers of excellence for research, training, and skilling in robotics, artificial intelligence, digital manufacturing, big data analysis, quantum communication, internet of things, etc. Find out how government initiatives will help the government revamp manufacturing and commerce, banking, healthcare, cybersecurity, and even town planning. Read more

Finance and Banking How do machine learning and artificial intelligence impact the financial industry? The financial industry in India or the Banking, Financial Services and Insurance (BFSI) sector in India is a fast-evolving one. How then, do banks and associated organizations save time, costs and yet add value to their operations for smooth functioning? In India, Artificial Intelligence (AI) has begun to play a major role in solving some of the most vital problems faced by both companies as well as customers. Not just banks, but nearly every company whether public or private in BFSI has started using AI for Robo-advisory, risk management and fraud detection, sophisticated high-end trading, and providing superlative customer experiences, etc. Read More

Delivery of Public Services The nation is on a massive-path digitalization. It is, currently, being realized through the Digital India mission. Today, more than 980 million Indians have AADHAR cards, 700 million own mobile phones, and more than 300 million have access to broadband internet connection. This transforms into a massive data set that has the potential to actively transform the public services delivery system. Find out the top 3 to-dos for the Indian government to transform its public delivery system.

Supply Chain Management Supply chain is a natural choice when it comes to Big Data finding its applications. From improving delivery times by synchronizing shipments to identifying better ways to reduce the communication gap between manufacturers and suppliers, today, Big Data Analytics is working as an evolutionary catalyst for the supply chain management to analyze consumer behaviors and habits, improve customer experience by personalizing it, streamlining e-commerce, and managing and distributing inventories exceptionally. Read more

E-Commerce While many industries are still at the nascent stages of figuring out what to do with the huge amount of data at their disposal, e-Commerce is one industry that is already reaping the rewards of their Big Data initiatives. Major players in this industry rely heavily on their team of data scientists to compete in this fiercely dynamic space. The key ways e-Commerce companies are deriving value from Big Data analytics are by personalizing offers, running promotions or big discount days, inventory management, and optimizing pricing by introducing real-time pricing. Read more

The only resolution you should be making in 2017

Every New Year brings with it the hope of a new beginning in our lives and along with it, come the myriad of resolutions we make to ourselves. Research indicates that most of the resolutions made by people are towards fitness and weight loss. As a result, January becomes a windfall month for most gymnasiums and fitness studios while most of us don’t become any leaner or fitter with passing years the one thing that we can definitely achieve is being a better version of ourselves. To achieve that you don’t have to make tall promises to yourself just Make Learning a Habit.

Learning new things is simple, achievable and one of the most profitable investments you can make each year.

 

1. Learning is like weight-loss

train

Let me make an uncanny analogy here: Aspiring to becoming leaner is very similar to wanting to learn something new. Ultimately, you have to change something that’s core in your behaviour to have the desired results. Both these goals need focus, determination and lots of discipline. And lastly, just as in weight loss as in education, there are no low-hanging fruits or express results. Both take time to fructify, but once you go the distance, there is no looking back.

 

2. Why ‘Learning’ in 2017?

Why we need to learn in 2017

The right question here should be ‘Why Not’. There has never been a better time to learn and frankly speaking, with the changing dynamics of businesses and technology disruption impacting us, if we don’t make learning a habit in 2017 and onwards, our professional credentials would be questionable at best and irrelevant at worst. Learning new skills and upgrading one’s professional capabilities is no longer a matter of choice but a necessity to have a fruitful career. In today’s time and age, the half-life of knowledgehalf-life of knowledge is forever decreasing which means that one needs to keep learning always to stay professionally relevant. The new reality is that what you learn at 25, will not take you till 35.

 

3. What should I learn?

What should you learn

This is like standing by an ocean and trying to find the perfect starting point for your swim. What you can learn is limited only by your intellectual bandwidth and interest. For the sake of brevity, let us focus on what the professional in you needs to learn. Depending upon the industry you are in or aspire to be in, you need to understand the trends that are driving growth. If you are unclear about it, you should talk to your seniors from the industry and pick their brains. Pick an area that is affecting most companies in your space and eventually will impact everyone and build your skill sets in that. Professional competencies such as analytics, big data engineering, product management, information security, intellectual property, digital marketing etc. are high growth areas where most companies are struggling for ‘good’ talent. Finding a sweet spot like this and making yourself competent in it will ensure your career benefits from this talent shortage.

 

4. Where should I learn?

e-learning

Learning in 2017 will be easier than ever before. From blogs to YouTube or TED, from companies offering online learning to mobile apps, ‘lack of access’ cannot be your excuse to not learning. But having said that, having a plethora of options makes it overwhelming and confusing.

I come across some candidates who know what the skills they need to acquire but are not sure if they will be able to learn. I usually advise them to first test the waters by accessing some free content online. YouTube is usually a good source for this. See if you like what you are learning and are able to grasp it.

 

5. Why do we fail to learn online?

why we fail to learn

If you are the kind that does not suffer from such starting troubles, you will usually find your learning options to be either completely online courses or blended courses (online + occasional weekend classroom sessions). Given this spread, how do you decide which format to go for?

Completely online courses provide convenience since you don’t need to attend any classroom sessions. But, online learning has been plagued by abysmally low rates of completion. The main reason for this is that for most of us, we learn better when we learn in a classroom setting with peers and faculty, who we can talk to in person.

The flexibility of attending class room sessions over few weekends in a month gives you the advantage of mixing the best of two worlds – the flexibility of online learning and the learning effectiveness of classroom learning. In our blended analytics program, we have seen hundreds of candidates do our program after having done one or multiple online courses. When asked, the most common response we get is because they feel that their learning in the online programs was incomplete. Also, when it comes to acquiring hard skills such as analytics, big data or machine learning, it is important to focus on programs that are more exhaustive and immersive and don’t take a superficial approach by promising to teach something in a matter of some hours.

 

6. What will it take?

learning in 2017

Learning is for everyone. Amongst the thousands of candidates who take our programs every year, we see about 30% of them to be with in the 15-30 year experience bracket. While there is no age to imbibe the habit of learning, just like with all good habits, the sooner you do it, the better you are. Having said that, learning is hard work. Depending upon when was the last time you were in a class, you would need discipline, focus and perseverance to go the whole distance. Usually, we have seen that the first two months are the hardest but once you settle into a routine within the first sixty days, you will go one to achieve the results you desire. The advice that we give to all our learners is to start small. Begin by dedicating an hour every day for the first 2 weeks, then about 8-10 hours a week for the next thirty days. Small changes in your habit will ultimately lead to big gains in your learning and professional success.

On that note, in 2017, make a promise to yourself. To learn something new and to challenge your professional status quo. Make Learning a habit and build the career you’ve always wanted. Oh and as for fitness, try playing a sport – 5 days a week. It is fun and just as effective (or ineffective) 🙂

5 Reasons why 250+ professionals have chosen Great Lakes Analytics Program          

Big data = Big opportunities.

Businesses today are flooded with massive information and data, but face a hard fight to make sense of it all. This burning concern to utilize the data strategically has led to a rising demand for data scientists and business analysts. Simultaneously, the skills gap for all such kind of jobs has been well documented. Identifying the growing need, institutes are developing data-oriented Masters Programs.

Great Lakes’ PGPBA program has an industry endorsed unique pedagogy that blends general management and analytics and makes you industry-ready. The candidates pursuing this program can expect to gain an overview of business foundation and a comprehensive knowledge of analytic techniques, with an applied industry orientation designed for professionals interested in a career in analytics.

Here are 5 best of reasons for why 500+ professionals have chosen Great Lakes Analytics Program:

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