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.