Your GPUs are idle because your data strategy is stuck in the past. Paul Nashawaty sits down again with A.B., co-founder and co-CEO of MinIO, to explore a game-changing concept: emergent behavior in data. Just like AI models suddenly achieved human-like intelligence at scale, your enterprise data will unlock unprecedented insights—but only when you reach critical mass. What You'll Learn: • Why data mesh and API integration strategies failed • How consumer tech (WhatsApp, TikTok, Instagram) cracked the data code first • The concept of emergent behavior: why 10M users ≠ 1B users • Why unified data pools beat distributed systems for AI • How to make governance a function, not a barrier to innovation • The shift from "compute centers" to true "data centers" Key Quote: "The more data you have, it actually gives you emergent behavior. The data, once it reaches a certain capacity, starts to show emergent properties. More data, more intelligence, and you will get there." — A.B. Critical Insight: A single Postgres database could run Uber or Walmart's core operations. So why do they store exabytes? Because that historical data—every transaction, every interaction—is what actually runs the business. 🔔 Subscribe for enterprise AI & AppDev insights #DataStrategy #EnterpriseAI #MinIO #EmergentBehavior #DataUnification #AIInfrastructure #AppDev #CloudNative