Employer-sponsored insurance (ESI) covers over half of the population (160 million people) and generates one of the richest and messiest healthcare datasets available. This talk reframes ESI as a high-impact applied AI environment, where real-world constraints matter as much as model performance.

The talk will provide a high level overview of practical opportunities for leveraging AI for improving employer sponsored healthcare outcomes as well as some of the challenges we need to tackle to ensure adoption. Attendees will gain practical guidance on deploying models within payer and employer ecosystems:

• Governance
• Monitoring drift
• Integrating with care management workflows
• Navigating regulatory constraints