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Data Mesh “won” the principles—so why do so many implementations still stall at scale? In this episode, Zhamak Dehghani (creator of Data Mesh, CEO of Nextdata) explains why data productivity plateaus as organizations scale use cases and sources, and why the industry has been missing a catalyzing technology that collapses the fragmented data stack into a true unit of value. We dig into autonomous data products: what “autonomy” means in practice, how it changes the lifecycle from “data + metadata” to “runtime + brain,” and how teams can build domain-oriented data products without replatforming their entire stack. What you’ll learn: Data mesh in 2026+: what worked, what didn’t, and why The difference between “packaging data” vs packaging the production + serving lifecycle What makes a data product “autonomous” (freshness, quality contracts, access, observability, discoverability) How Nextdata OS thinks about developer experience: declarative specs + code + orchestration Socio-technical reality: why process + tech must change together