Senior Vice President, P&C R&D
Swiss RE’s SVP of P&C R&D, Jerry Gupta is a firm believer in the revenue-generating potential and AI and machine learning. On this episode of The Data Chief, Jerry offers his view on innovative data models, frameworks for building and operationalizing these models, what makes a good data scientist, and why it will always be more challenging for data teams to maintain existing models vs. innovate new ones.
“When I look at data science any model you build, you have to look at it through two lenses. One is the lens of the data quality. The other one is human impact.”
As the bounds of personal privacy are being questioned, the clamor for effective ethical standards and governance grows louder. Whose responsibility is it for the use of gathered personal data to be used responsibly? Whose ethics are we abiding by? The answer to all of this is multi-faceted and evolving as culture moves to catch up with technology.
Model maintenance is probably one of the most neglected, but also… one of the most expensive elements of a data science project over the long term.
The first balance you have to find, which I believe in my mind, the most critical balance is between interpretability and accuracy. Which is, are you going to prioritize? I almost always prioritize interpretability.
Data scientists are excited by building new things by moving the needle.
When I look at data science any model you build, you have to look at it through two lenses. One is the lens of the data quality. The other one is human impact.
Jerry Gupta is a Senior Vice President at Swiss Re, one of the world's leading providers of reinsurance and insurance. He is an executive with experience leading data science and technology initiatives, and managing both business and technical teams. At Swiss Re, he leads Tech Enabled Data Driven Innovation with a goal of developing new products/solutions and taking them to market. Previously he was the Global Head of Program Management at Amazon.
Prior to that Jerry helped launch the Innovation and Venture groups at Liberty Mutual Insurance. Jerry is a technologist and data scientist, experienced in finding Product-Market fit and developing user experiences that delight customers. He has launched new businesses both as an entrepreneur and within Fortune 100 setting. He has conducted due-diligence on transactions worth over $3B in aggregate value and has raised over $25M in private placements. In addition, he has been on the board of or an advisor to several start-ups in the US, India and Europe.
Jerry has an MBA from MIT Sloan School of Management, and an MS in Data Science from Northwestern University. He also has an MS in Computer Sciences from Bentley University.