What separates companies succeeding with AI from those struggling to see results? The answer isn't the AI itself-it's the data foundation underneath it.
In this episode, we explore why the companies winning with AI today are the ones that spent years cleaning, structuring, and curating their data. Our guest is Mike Hutchinson, Chief Operating Officer at Teradata, bringing 35 years of customer experience expertise across three software companies.
Mike breaks down the critical gap between structured and unstructured data, why vector stores and context engines are game-changers, and how real AI use cases come from solving business problems-not from hackathons. He shares examples from banking, airlines, and Teradata's own operations, including their fully autonomous account planning system.
We also look ahead to 2026 and Mike's bold prediction: this will be the year companies build agents at scale - autonomous systems that monitor, decide, and act without human intervention.
Chapters/Key Moments:
00:00 - Meet Mike Hutchinson, 35 Year CX Veteran
09:22 - The Unstructured Data Problem
12:07 - Marrying Structured & Unstructured Data
16:15 - Why AI Use Cases Fail
19:32 - Banking NPS Transformation Story
25:18 - Security & Hallucination Concerns
30:32 - Getting Started with Data Organization
37:33 - Predictive Analytics & Weather Patterns
42:21 - CX Skills for the Next Decade
48:52 - The Expertise Debate in an AI World
56:49 - 2026 Prediction: The Year of Agents