Data Science is Changing and Data Scientists Need to Change Too – Here’s Why and How

The very core of a data scientist’s job profile is undergoing a sea change. First, analytic platforms are becoming one-stop shops for data scientists. Second, and a more important reason, is that advanced analytics (everybody is calling it embedded AI) is becoming the hidden layer of Systems of Intelligence (SOI) in the new enterprise applications stack.Both these forces are changing the ways in which data scientists need to do their jobs and how they continue to create value. In this session, we will discuss the changes in approaches to data science, starting from “handcrafted knowledge” to “statistical learning” to “contextual adaptation”, and how and why data scientists need to focus on the higher value work!


Soumendra Mohanty

Soumendra is an acclaimed thought leader and SME in Analytics, IoT, AI, Cognitive and Automation space. He is a two-decade veteran with expertise in next-gen Big Data Solutions, BI Architectures, Enterprise Data Warehouse, Customer Insight Solutions and Industry- specific Advanced Analytics solutions. With his broad experience, he has designed and implemented data analytics solutions for Fortune 500 clients across Industry verticals. Soumendra is an Advisor with Harvard Business Review Advisory Council. He is also associated with Indian Statistical Institute and various universities as visiting faculty specializing on Big Data and Analytics.

oumendra has been deeply engaged with customers and partners implementing and using Big Data, AI, Cognitive and Analytics solutions. With his regular interaction with Customers across the Globe, he brings strong customer connects as well as their journeys and experiences to the table. He is an effective communicator across corporate and academia; and can be regularly found speaking at various global forums, CAO advisory forums and educational institutions.

Soumendra is also an author of the books Data Warehousing, Big Data Imperatives and Analytics in Practice.

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