Soccer analytics is becoming increasingly sophisticated, with teams and fans using data to understand performance, tactics, and player impact. With AI agents, you can go a step further—creating systems that automatically analyze data, answer questions, and generate insights on demand.
In this code-along webinar, Nacho Martínez Rincón, a Data Scientist Advocate at Oracle, will guide you through building a soccer analytics agent using Claude and Oracle as the memory layer. You'll learn how to design an agent that can query and interpret match data, explore a real-world FIFA World Cup dataset, and see how AI can support deeper analysis of the game.
Key Takeaways
- Learn how to build an AI analytics agent using Claude and the Oracle stack.
- Understand how AI agents can support soccer analytics and performance insights.
- Explore a real-world FIFA World Cup data project through hands-on development.
