Eigen X at ITAG Tech360: AI & Sports Analytics - Transforming Data into Winning Strategies
Event: ITAG Tech360
Date: November 14, 2024 8:30AM - 5:00PM
Location: Penn State Great Valley Conference Center, Malvern, PA
Session Overview: AI & Sports Analytics – Transforming Data into Winning Strategies
Description: This session explores the powerful combination of AI and sports analytics, focusing on how organizations can leverage advanced data techniques to gain a competitive edge. We will delve into the mechanics of Tableau Pulse, a groundbreaking feature that delivers next-gen metric-based experiences to your preferred platform. Additionally, we’ll showcase the custom English to SDQL AI interpreter developed for KillerSports, which revolutionizes sports betting analytics.
Attendees will learn how to prepare their data for AI applications, ensure high accuracy in model training, and optimize costs without compromising on quality. This session is ideal for both technical practitioners and business leaders looking to integrate AI into their decision-making processes. Join us to unlock the full potential of your data and drive success in the fast-paced world of sports analytics.
Key Takeaways:
AI in Action: Learn how advanced analytics is driving transformation across sports, from talent scouting to game-day strategy.
Predictive Power: See real-world examples of AI predicting player performance and team success with remarkable accuracy.
Winning with Data: Understand how teams are leveraging AI tools to develop strategies that turn data into wins on the field.
The Future of Sports Analytics: Explore the potential of AI in redefining the future of sports, from fan engagement to health monitoring.
Why Attend?
Whether you're a sports executive, data enthusiast, or tech professional, this session will offer invaluable insights into the game-changing role of AI in sports analytics. Learn directly from the experts at Eigen X as we break down how data is transforming the way sports teams win, evolve, and thrive in today’s competitive landscape.