Making Enterprise Data Ready for AI With The Modern Data Company
Tech Talks Daily

Making Enterprise Data Ready for AI With The Modern Data Company

B2Upper-intermediateOctober 18, 202629 min
  • Interview
  • Technology

Could your enterprise data support a reliable report and still leave an AI agent unsure what the numbers mean? In this episode of Tech Talks Daily, I speak with Saurabh Gupta, CEO of The Modern Data Company, about the difference between being analytics ready and AI ready. Saurabh's background includes data strategy and governance work at Thoughtworks, Washington DC government, and international organizations. Our conversation focuses on the information around data that machines need when they begin consuming it directly. A familiar reporting process can depend on human knowledge that never becomes part...

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And Denodo applies guardrails across your entire data estate.

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The leading issue of agentic AI in businesses right now is ensuring agents act with compliance guidelines. And Denodo applies guardrails across your entire data estate. By aligning your company's data infrastructure under one system, these guardrails perform consistently across your platform.

0:21

So start scaling your business and start with Denodo. Simply visit Denodo.com to learn more. What happens when an AI agent finds 14 fields called date? And each one of those fields means something completely different.

0:40

Yes, a human analyst would spot that ambiguity quite early on. A machine, however, might deliver a very polished answer that is completely wrong. So today I'm joined by the CEO of the Modern Data Company. And we're going to discuss why many enterprises are analytics ready, but unprepared for AI.

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