Artificial intelligence has landed in the world of stop loss and reinsurance, and this innovative set of tools has the potential to unlock new insights and data sets. 

But how will AI providers filter out the noise and incorporate their models into this established $35 billion industry? 

We’re going straight to the source with three key leaders in this space: Jason Oswald from Gradient, Ian Pietz from Prealize, and Ali Panjwani from Merit Medicine.

Together, we’ll explore the evolving landscape of predictive analytics in the stop loss and reinsurance sectors, including how artificial intelligence tools stand to redefine underwriting practices and their relationship with data access.

Ali will explain his “3-V” value proposition that AI can unlock in underwriting—visibility, variability, and value. 

And all of our expert guests will lay out their visions for future broader adoptions of predictive analytics across the various carrier types. 

🖥️ Play on BCS website – https://bcsf.com/firmandfinalpodcast/ 

🎧 Listen on Spotify – https://spoti.fi/3U7rYuq 

🍎 Listen on Apple Podcasts – https://apple.co/3Kvdlhg 

☑️ Sign up to subscribe – https://bcsf.com/firmandfinalpodcast/ 

🦸 Recommend a Legend – [email protected]