Getting data "ready" used to mean ready for a dashboard, where a person could catch a bad number before it did any harm. Once an AI agent acts on the data instead of a person, that safety net is gone.

In this episode of the Data Faces Podcast, David Sweenor sits down with Matt Hayes, General Manager of the Data Business Unit at Qlik, to talk about why AI-ready data is a much higher bar than analytics-ready, how a customer-defined trust score keeps agents from acting on bad data, and why "data freedom" is what keeps enterprise AI both trustworthy and affordable.

Key takeaways
1. AI-ready data clears a higher bar than analytics-ready data, because an agent acts on a bad number that a human would have paused on.2. A customer-defined data trust score pauses an agent when quality slips, but only works if it flags what genuinely matters.3. Matt's three principles are context, trust, and freedom, and he ranks freedom first.4. Data freedom is also an economics argument: open formats and not persisting your data hold down storage and compute cost.5. The discipline that keeps enterprise AI trustworthy is the same one that keeps it affordable.

**Chapters**
- 0:00 Introduction- 0:52 Matt's role and the Qlik data portfolio- 3:25 Lessons from the SAP world- 5:14 Context, trust, and freedom- 7:41 AI-ready versus analytics-ready- 11:05 What AI-ready means, and the trust score- 14:08 Data products as the finished good- 16:31 A supply-chain near-miss- 25:36 Where the data side meets the decision side- 31:51 A business case that survives the pilot- 36:17 Close

**Links**
Full blog: https://tinytechguides.com/blog/data-faces-matt-hayes-ep44-trust-enterprise-ai/?utm_source=youtube&utm_medium=video&utm_campaign=ep44-matt-hayes&utm_content=descriptionAlso on Substack: [SUBSTACK URL — pending publish]Matt Hayes on LinkedIn: https://www.linkedin.com/in/hayestech01/Qlik: https://www.qlik.com/
Data Faces PodcastYouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurRSpotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yFApple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487Amazon Music: https://music.amazon.com/podcasts/8465f3b3-5d41-4c84-a561-bf8af09560e3/data-faces-podcast
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