How can enterprises scale generative AI without sacrificing security, compliance, or control?

In this episode of How Hard Can It Be?, host Alex Schlager (CEO, Aiceberg) welcomes Eduardo Ordax, Principal Go-to-Market Lead for Generative AI at Amazon Web Services (EMEA). Eduardo partners with some of the world’s most complex organizations to design and deploy GenAI strategies that scale safely—from prototype to production.

In this conversation, we dig into:

  • The most common enterprise missteps in GenAI adoption
  • Why moving from prototype to production often takes 9+ months—and how to shorten that timeline
  • What “secure autonomy” means for agentic workflows in Fortune 500s
  • How MLOps becomes a security lever for governance and resilience
  • Designing fallbacks for agentic systems to prevent cascading risks
  • The KPIs CISOs should measure to prove secure AI ROI
  • The one foundational capability every CISO needs before scaling agentic AI

If you’re a CISO, CIO, or enterprise leader wrestling with GenAI deployment, compliance, or security posture—this episode gives you the roadmap to scale confidently.

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