Earnix Eˣcelerate 2023
All the sessions on demand, in one place, at your own pace
At Earnix Eˣcelerate 2023, attendees from around the world gathered for two days of impactful insurance insights, perspectives, case studies, approaches and much more. Gain access to meaningful sessions that delivered valuable insights from leaders in the insurance industry.
Unlocking Growth Through Data
Dr. Jiri Strelicky, Chief Executive Officer, CSOB, offers insights from his practical experience of broad data usage to accelerate GWP growth.
Earnix Excelerate
Principled Execution: Maintaining Customer Loyalty and Profitable Growth During Times of Change
David Cummings, SVP, Chief Actuary & Head of Analytics, USAA, delves into how USAA experienced the changes and disruptions that the insurance market went through, including how they dealt with these changes and how they translated into decisions.
Earnix Excelerate
Driving Enterprise Value with AI and Analytics
Erez Barak, Chief Technology Officer, Earnix ,shares valuable insights gained from real-world experiences of enterprises striving to harness the power of Artificial Intelligence (AI) and Analytics for transformative business outcomes. He explores the strategies, challenges, and key learnings that have emerged from the forefront of AI integration across diverse industries.
Earnix Excelerate
Analytical Innovation
In this session, Reuven Shnaps, Ph.D, Chief Analytics Officer, Earnix, explains everything you need to know about synthetic data—an idea that may seem almost too good to be true.
Earnix Excelerate
From ROI to Production: How to Get the Most From Your External Data
Companies face major challenges when implementing their external data strategy. In this session, Drew Lawyer, Global Director, Solutions Engineering, Earnix, gives you a better process to evaluate your data and reveals how to transition from ROI to Production and get the most out of it.
Earnix Excelerate
Supercharging Open Analytics with Model Diagnostic & Model Explainability
Boris Pritsker, Applied Data Science Manager, Earnix, explains the critical importance of model explainability in modern analytics and delves deeply into the unique offerings and advantages of Earnix's explainability tools.
Earnix Excelerate
