Why do so many #AIprototypes fail in production? It usually comes down to one harsh reality: #CuratedData vs. #EnterpriseData. During our recent Agentic AI Unleashed event, our CTO, @RajuPenmetsa1, broke down exactly where #AI projects hit a wall. In a POC, it's easy to feed your models perfectly curated data to get the exact results you want. But in a real enterprise environment • Data is scattered across 50 isolated islands. • Teams are relying on 20 different tools, creating endless silos. • The infrastructure is inherently complex and messy. If you overlook the challenge of bringing these disconnected data silos into a cohesive dataset during the prototype stage, your production rollout is guaranteed to struggle. Watch the clip below as Raju and @BobLaliberte discuss the biggest obstacle customers face today and why solving the #data layer is the mandatory first step for #AgenticAI.

Stop debating ready vs perfect. Small, scrappy, working > perfect, hidden forever. 💡 #VibeCoding #IterateFast #AIPrototypes