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Build a Soccer Agent

Thursday, June 11, 11 AM ET

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.

Your Presenter(s)

Ignacio (Nacho) Martínez Rincón headshot

Ignacio (Nacho) Martínez Rincón

Data Scientist Advocate at Oracle

Ignacio is an AI Engineer and Developer Advocate at Oracle focused on autonomous agents, AI infrastructure, and developer education. With more than seven years of experience in machine learning and cloud technologies, he builds practical AI systems and open-source tools spanning RAG, multi-agent architectures, and real-time AI applications. He is also an active speaker and community contributor, sharing expertise on scalable AI and emerging technologies through conferences, workshops, and open-source projects.

Why this matters

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.

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