The Missing Layer in the AI Stack: Why Data Architecture Determines AI Success or Failure

Enterprises are investing heavily in AI agents, chatbots, and copilots—yet many initiatives stall before reaching production. The limiting factor is rarely the model. Instead, it’s the underlying data architecture’s ability to deliver contextual, connected, and governed data at scale.

In this webinar, Shekhar Iyer, CEO of Arango and guest speaker, Indranil Bandyopadhyay, principal analyst at Forrester, examine insights from Forrester’s Multi-Model Data Platforms research to explore why traditional data stacks struggle with AI workloads—and what architectural patterns are emerging to close the gap.

Learn how modern data architectures support production-grade AI systems by reducing fragmentation, improving context, and enabling seamless transitions from pilot to deployment.