Implementing AI and Gen AI goes beyond DataOps and MLOps, involving foundational models that organizations purchase and fine-tune with proprietary data through transfer learning.  New questions arise about liability and copyright issues regarding the data used for model training, as well as rights to derived works.  These risks associated with enterprise-level AI can be underwritten, and it's crucial for organizations to understand what this entails and how to prepare for it.  Priya Nathan, a VP at Marsh will join ISG's Prashant Kelker to delve into the implications and strategies for managing these risks in the AI landscape.