Driven by Data: The Podcast · 2026-06-23 · 50 min
In Episode 12 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Justin Borgman, Co-Founder and CEO of Starburst, where they discuss why the biggest barrier to AI success is no longer about models. The conversation explores why traditional approaches to data architecture are struggling in the AI era, how enterprises can overcome fragmented data estates, the importance of context and semantics, why many organisations remain stuck in pilot mode, rising AI costs, build versus buy decisions, agentic AI, and what the next three to five years of enterprise AI adoption are likely to look like, which includes; Why the vision of centralising all enterprise data into a single platform has never truly reflected reality. Why the AI industry's obsession with model selection is increasingly distracting organisations from the real challenges. How advances in foundation models are rapidly commoditising model performance and shifting attention elsewhere. What the true bottlenecks to AI adoption actually are. Where the clearest examples of AI delivering measurable value are today.
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