Claims and risk management departments have abundant opportunities to leverage artificial intelligence for improved outcomes. The effectiveness of AI solutions, however, can vary significantly.
Join Riskonnect’s Kim Alderman, director, AI innovations lab, and Angus Rhodes, product manager, insurable risk, as they take a step-by-step look at how to successfully incorporate AI into your risk management program, including predictive models tailored specifically for claims and risk management.
You’ll learn:
- How embedded AI solutions can streamline and expedite the data management process
- Why machine learning algorithms specifically designed for claims data offer superior accuracy, lift, and stability compared to generic AI solutions
- How to integrate AI insights directly into the user interface, so users can interact with and apply model outputs to their workflows
- How to sustain performance and relevance of predictive models over time
Speakers:
- Kim Alderman, Director, AI Innovation Lab, Riskonnect
- Angus Rhodes, Product Manager, Insurable Risk, Riskonnect
