The Context Gap: Why Frankenstacks can't solve it and how Arango does

AI is no longer just generating answers—it’s starting to reason, decide, and take action. But most enterprise AI systems still struggle in production. Why? Because they lack business context. Today’s AI stacks are often stitched together from databases, pipelines, and tools—creating Frankenstacks that reconstruct context at inference time instead of maintaining a consistent, trusted understanding of the business. This video explains The Context Gap—and what it takes to build AI systems that can reliably reason, decide, and act. Explore the Contextual Data Layer for Enterprise AI: 👉 https://arango.ai 👉https://arango.ai/news/arango-launches-contextual-data-platform-4-for-ai-agent-ready-enterprise-data/