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Business Applications of Data Science, AI & Machine Learning

Instructor:

Dr. Abhinanda Sarkar
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About this Live Session

Master Class by Dr. Abhinanda Sarkar, Ph.D. from Stanford University, Ex-Faculty - MIT

What do Big Data and Deep Learning have to do with business strategy? Quite a lot it turns out, and some of it we see routinely. For example, chatbots that respond to queries or search engines for images. But what about finding new customers or managing operations in tough times? Are there ways to motivate employees or understand the risk better?

Data and algorithms are combining in powerful new ways to change the way we do business. New business models are emerging and older models are upgrading fast. All this is done via information technology ranging from cloud computing to mobiles and modeling paradigms ranging from data science to machine learning to artificial intelligence.

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Business Applications of Data Science, AI & Machine Learning

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Our instructor

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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

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860.9K+ Learners
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31 Courses
Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

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