By: Mitesh Shah, Global Director, Cloud Alliances and GTM – Denodo
By: Carl Luo, Partner Solutions Architect – AWS
The race to production agentic AI has been dominated by model selection: which foundation model, which fine-tuning approach, which orchestration framework. But models are commoditizing fast. According to RAND Corporation, more than 80% of AI projects fail to deliver their intended business value. Gartner reports that 63% of organizations lack the data management practices required for AI. The real bottleneck is not the model. It is the data foundation. Without governed, real-time access to enterprise data, agents hallucinate, act on stale context, and fail to deliver business outcomes. The organizations that get agentic AI into production are solving the data problem first.
However, in today’s hybrid and multi-cloud data landscapes, secure access to the full data estate is constrained by compliance…
