Reduce project specific risk with AI powered data set and analytics

Using an expansive 200 GW operational performance data set and applying advanced renewables data science Clir's software generates a highly accurate assessment of project specific risk. In this interview, learn how data and ML are advancing the renewable insurance industry by accurately identifying key asset risks including turbine reliability and longevity, operational practices and contractual risk.

Speakers:

• Stephanie M. Morley, Conference Producer, A Word About Wind [Interviewer]
• Gareth Brown, CEO & Co-founder, Clir Renewables
• Evan A. M. Hobbs, Underwriter, GCube Insurance