Most enterprise AI projects don’t fail on the model. They fail on the data.
Denodo’s Data Day Roadshow 2026 ran March 10–12 across East Coast US locations, organized around that exact problem. The event focused on how enterprises can give AI systems live, unified access to data without dismantling existing infrastructure, the architectural pattern Denodo calls data virtualization.
According to Denodo’s event page, thematic content covered AI data simplification, governance and auditability, ROI acceleration, and the role of a semantic layer in making data legible to AI agents. These themes are consistent with Denodo’s documented product portfolio, which spans agentic AI, generative AI, and governance, though the specific session content and any announced outcomes were not available from the event page excerpt at time of production.
Denodo listed participating organizations including AWS, HCLTech, IQZ Systems, and Pellera Technologies, though this participant list couldn’t be confirmed from available page content and should be treated as vendor-reported.
The roadshow’s topic selection reflects where enterprise AI adoption is actually stuck in early 2026. Governance, auditability, and data access aren’t aspirational conference themes. They’re the specific friction points that practitioners report when AI pilots fail to reach production. An event organized entirely around these constraints, rather than around capability announcements, is a more useful signal of where the enterprise AI conversation has landed than most vendor press releases.