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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
00:00:00 Meet Mike Hutchinson, 35 Year CX Veteran
00:09:22 The Unstructured Data Problem
00:12:07 Marrying Structured & Unstructured Data
00:16:15 Why AI Use Cases Fail
00:19:32 Banking NPS Transformation Story
00:25:18 Security & Hallucination Concerns
00:30:32 Getting Started with Data Organization
00:37:33 Predictive Analytics & Weather Patterns Example
00:42:21 CX Skills for the Next Decade
00:48:52 The Expertise Debate in an AI World
00:56:49 2026 Prediction: The Year of Agents
Watch Next: https://www.youtube.com/watch?v=enBE_5PQOb4
Experts of Experience is produced by the team at Mission.org.
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