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 model, 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.
- McKinsey Global Survey: “The state of AI in 2021”
- “Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes”
- Tom Davenport
- International Risk Governance Center – EPFL
“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.”
Get even more insights from data and analytics leaders like Jerry on The Data Chief.