Curiosity, Continuous Learning, And AI
People Matters|June 2019

Anshul Sheopuri, Vice-President and CTO, AI & offering strategy, HR, IBM, sheds light on next-gen technologies such as Artificial Intelligence, and jobs and future of work in an exclusive interaction with People Matters.

Mastufa Ahmed
Curiosity, Continuous Learning, And AI

Anshul Sheopuri is the VP & CTO, Data, AI & Offering Strategy, HR and IBM Distin-guished Engineer. Anshul is responsible for re-inventing people data and offerings via AI. He is a digital transformation leader with proven ability to drive measurable business outcomes by driving changes to process, platforms, products and people. His work resulted in $100M benefit to IBM in 2018 alone.

Previously, Anshul was Senior Manager, Digital Research, at the IBM T J Watson Research Center, where he led a team of researchers working on innovative big data digital technologies in areas like real-time bidding algorithms for paid media optimization, spatio-temporal analytics for mobile personalization, and omni-channel content personalization using NLP and machine learning techniques.

Here are the excerpts of the interview with Anshul.

You lead a team of data scientists, people analytics practitioners, and engineers who use data to transform the employee experience. How do you bring value to the business?

The people analytics journey has mirrored the evolution of our HR function, moving from process to experience. A decade ago, the analytics team focused on reporting operational metrics like the cost to hire. Now, we're focused on delivering insights that solve valuable business problems and compelling user pain points. We've incorporated a number of AI tools to help with better decision support, better employee experiences and productivity. Our journey from operational reporting to AI has transformed the way our users experience our offerings - for example, our employees experience learning via a contemporary digital platform that has a Netflix-like experience and delivers AI-based personalized recommendations.

How do you see the evolution of HR and talent from a technology perspective?

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