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. 

Tune in to learn:

• The difference between ost cutting versus revenue-enhancing initiatives 03:20 
• More about the Data Model framework 07:50 
• Why the quality of your output depends on the quality of your input 11:35 
• How to address the shortfall of data scientists in the job market 13:48 
• How to set more clear value statements for models 27:56 
• More about informing the regulation of ethical AI and machine learning 45:33

Mentions:

• 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

Get even more insights from data and analytics leaders like Jerry on The Data Chief.  

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