Where are advances in technology taking data and analytics and enhancing our ability to prevent potential losses? In this episode, host Pete Miller, CEO of The Institutes, talks with Nancy Greco, a Distinguished Engineer with IBM Research, about the evolution of risk data and artificial intelligence to predict and prevent losses that can disrupt operations. In the second half of the episode, Miller sits down with Matthew Kahn, President of Risk & Insurance, to review some of the key takeaways from the first season of the podcast and moderates an ask me anything (AMA) segment with Miller. 

Segment 1: (02:30) In the first segment, Pete and Nancy discuss her career and role at IBM, the drivers shaping the evolution of risk data, a shift in focus to loss prediction, using Boston Dynamics’ robotic dog Spot in data collection, the advances brought by AI in data analysis, the promise of foundation models of AI, and achieving real-time loss intervention through AI. 

Segment 1: (28:24) In the next segment, Pete and Matthew reflect on how the topics covered in season 1 of the podcast align with real world challenges, a growing emphasis on risk prevention, technological advances that aid risk management, the advantages of real-time data, the evolving landscape of insurance, the need for community and industry collaboration, demonstrating the ROI of adopting prevention tech, and the future of the predict and prevent model. They also field questions from our audience on predict and prevent.