Webinar

4 Essential questions on AI governance & model risk for insurers

April 30, 2025 | 10:00 - 10:30 AM PT | 1:00 - 1:30 PM ET

Register now

As AI and ML reshape the insurance industry, insurers must navigate governance, compliance, and model risk management (MRM) while driving innovation and efficiency.

In this fireside chat, industry experts will tackle four critical questions that every insurance leader must answer to balance AI-driven transformation with regulatory expectations:

  1. How can insurers scale AI while staying compliant with evolving regulations?
  2. What are the biggest model risk challenges in insurance, and how can they be mitigated?
  3. How do insurers embed governance into the AI lifecycle without slowing innovation?
  4. How can insurers turn AI governance from a regulatory burden into a competitive advantage?

Join us for a practical discussion on how insurers can proactively manage AI governance, streamline compliance, and de-risk AI models—without stifling innovation.


Featured Speakers

Joe Breeden

CEO at Deep Future Analytics, President of Model Risk Managers’ International Association

Dr. Breeden has been designing and deploying risk management systems for loan portfolios since 1996. He founded Deep Future Analytics in 2011, which focuses on portfolio and loan-level forecasting solutions for pricing, account management, stress testing, CECL / IFRS9; and AI monitoring; serving banks, credit unions, and finance companies. He is a board member of Upgrade, a San Francisco-based FinTech; President of the Model Risk Managers’ International Association (mrmia.org); and an Associate Editor for the Journal of Credit Risk, the Journal of Risk Model Validation, JRFM, and the journal of AI and Ethics. He is also the founder of auctionforecast.com, which predicts the values of fine wines using a proprietary database with over 4.5 million auction prices. Dr. Breeden earned a Ph.D. in physics, and has published over 90 academic articles, 8 patents, and 6 books.

Mike Upchurch

VP, Financial Services and Insurance Strategy

Mike Upchurch is the Vice President of Strategy for Financial Services at Domino Data Lab, bringing over 25 years of expertise in analytics, ML/AI, business strategy, and technology. Previously, Mike held roles at Capital One as a product manager in their innovation lab and as a strategy and operations consultant in their Center for Machine Learning. Mike led strategy at Notch and in the mortgage lending group of Bank of America and was the co-founder of Fuzzy Logix. Prior to that he developed deep hands-on technical experience at The Hunter Group and PwC.

Ahmet Gyger

Sr. Director Product Management

As the Senior Director of Product Management for AI and Machine Learning, Ahmet shares his views on the role of a product manager at an enterprise AI company, the impact it has on bringing this technology to life for his customers, and turning their requests into actual features.