Cutting Through the Static: Model-Driven Decision-Making
Description
Moderator: Katie Hodel
Panelists: Karlis Kezbers, Keith Goldner, Nicole Pelaez-Dandrea, Branden Moore
In an era where data is king, predictive modeling has become a critical tool for decision-making both on and off the field. From optimizing player performance and game strategy to enhancing fan engagement and business operations, predictive models shape the way organizations in sports operate. However, the path to building, testing, and deploying these models is filled with challenges, including structuring data science teams for success, designing and optimizing data systems, ensuring model accuracy, and understanding the broader implications of data-driven decision-making. This panel brings together experts from leading sports and entertainment companies to discuss the evolving landscape of predictive modeling, the biggest hurdles they face, and the innovations shaping the future of analytics in sports. Join us for an in-depth conversation on how model-driven decision-making is transforming the sports industry.
United States
