There is a pattern that keeps repeating itself across enterprise AI projects. A company invests in a capable model, deploys it with reasonable expectations, and then watches it underperform in production. Not because the model is weak. Because the data feeding it is stale, incomplete, or contextually meaningless to the system trying to use it. Denodo’s new integrations with AWS are a direct response to that pattern, extending its data management platform into the infrastructure layer where agentic AI actually breaks down.
