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Scaling Smart: Building AI Tools That Underwriters Actually Use
🎙️ Guest: Eric Westhus, Lead Data Scientist, Americas Data Solutions, RGA
💡 Can a three-person data science team really transform how underwriters handle 1,000-page case files? What does it take to turn an AI experiment into a production tool that underwriters actually trust?
In this episode, we sit down with Eric Westhus to explore how RGA is scaling AI tools that underwriters actually use – tools that don't replace human judgment ... but enhance it. Through his unexpected journey from outdoor ecology to data science innovation, Eric shares how his team is transforming underwriting workflows with real-world AI applications.
🔍 Tune in for practical insights on staying ahead in digital underwriting, including:
- Approaches for data scientists and underwriters to co-develop tools through daily feedback loops
- The importance of customizable models tailored to underwriting needs
- Real-world examples of fixing OCR errors and refining data strategies
This episode is a must-listen for anyone navigating the intersection of AI and insurance. Eric offers practical insights into building scalable, auditable, and human-centered AI tools that solve real problems – while optimizing the underwriter's expertise.
View all episodes
By RGA🎙️ Guest: Eric Westhus, Lead Data Scientist, Americas Data Solutions, RGA
💡 Can a three-person data science team really transform how underwriters handle 1,000-page case files? What does it take to turn an AI experiment into a production tool that underwriters actually trust?
In this episode, we sit down with Eric Westhus to explore how RGA is scaling AI tools that underwriters actually use – tools that don't replace human judgment ... but enhance it. Through his unexpected journey from outdoor ecology to data science innovation, Eric shares how his team is transforming underwriting workflows with real-world AI applications.
🔍 Tune in for practical insights on staying ahead in digital underwriting, including:
- Approaches for data scientists and underwriters to co-develop tools through daily feedback loops
- The importance of customizable models tailored to underwriting needs
- Real-world examples of fixing OCR errors and refining data strategies
This episode is a must-listen for anyone navigating the intersection of AI and insurance. Eric offers practical insights into building scalable, auditable, and human-centered AI tools that solve real problems – while optimizing the underwriter's expertise.