Episode #55 | Eduardo Ordax | The Gap Between AI Hype and Production Reality
Update: 2025-04-03
Description
In this episode of The Only Constant, Lasse Rindom talks with Eduardo Ordax, AI Lead at AWS, about the messy realities behind AI hype. They cover why great data still beats great models, why fine-tuning often isn't worth it, and why most "agents" today are just glorified workflows.You'll also hear:
Do you want to know more about Eduardo Ordax?
Eduardo Ordax is the Principal Go to Market Generative AI Lead at Amazon Web Services (AWS), where he helps global customers harness the full potential of artificial intelligence. With over 15 years of experience in sales, business development, and AI/ML, he has become a trusted voice in the AI community, known for his pragmatic approach to technology implementation and his viral posts about the importance of data foundations in AI success.
A passionate public speaker and startup advisor, Eduardo brings a unique perspective as an "AI Outsider" who balances technical expertise with business acumen. He is dedicated to helping organizations navigate the challenges of AI adoption while maintaining a focus on what truly matters - building strong data foundations before rushing into AI applications.
- What companies get wrong about internal data
- The risks of “vibe coding” in a world of AI-generated software
- Why composable architectures might not survive the agentic future
Do you want to know more about Eduardo Ordax?
Eduardo Ordax is the Principal Go to Market Generative AI Lead at Amazon Web Services (AWS), where he helps global customers harness the full potential of artificial intelligence. With over 15 years of experience in sales, business development, and AI/ML, he has become a trusted voice in the AI community, known for his pragmatic approach to technology implementation and his viral posts about the importance of data foundations in AI success.
A passionate public speaker and startup advisor, Eduardo brings a unique perspective as an "AI Outsider" who balances technical expertise with business acumen. He is dedicated to helping organizations navigate the challenges of AI adoption while maintaining a focus on what truly matters - building strong data foundations before rushing into AI applications.
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