Arrested Automation-How Smart Companies Fail Fast Without Falling Apart

Agentic AI investment is accelerating. Production-scale results are not.

Wakefield Research, commissioned by Teradata, found that while 90% of organizations are increasing investment, just 7% are ready to operationalize AI at scale. The ambition is there. The infrastructure, governance, and operating discipline often are not.

Hear from Teradata CTO Louis Landry and Chief Data and AI Officer Josh Fecteau on what's holding organizations back, and what it takes to move forward. They'll cover:

• Why the model is not the problem: Why architecture, data, and organizational readiness are often the real barriers to AI at scale
• Why pilots die before they reach production: What separates experimentation from production-ready AI
• Cost, control, and risk: How enterprises can manage costs, governance, security, and operational risk as AI adoption expands
• Where the human stays in the loop: How to determine the right level of human oversight as agents take on more autonomous decisions and actions

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