In the Media

For decades, organizations have invested heavily in data quality focusing on accuracy, completeness, consistency, and timelines. These things matter significantly, and the effort has been worthwhile. But despite real progress, many organizations still find themselves struggling when it comes to analytics, modernization, and now AI.

Denodo has announced the availability of Denodo Platform 9.5, advancing its role in providing active context for agentic AI, analytics, and self-service data delivery. The release expands the enterprise knowledge graph, introduces metric views for trusted KPIs, enhances conversational development, and expands connectivity across the data and AI ecosystem.

Denodo, the AI data layer company, announced the availability of Denodo Platform 9.5, advancing its role in providing active context for agentic AI, analytics, and self-service data delivery.

The next phase of enterprise AI will not be decided by who has access to the most powerful model. That advantage is already narrowing. The real divide will be between organisations that can connect AI to the live, governed reality of their business and those that cannot.

Denodo Platform 9.5 strengthens trusted enterprise context for AI, analytics, and data sharing

Denodo has announced the availability of Denodo Platform 9.5, advancing its role in providing active context for agentic AI, analytics, and self-service data delivery.

Denodo, the AI data layer company, announced the availability of Denodo Platform 9.5, advancing its role in providing active context for agentic AI, analytics, and self-service data delivery. 

Denodo has announced the availability of Denodo Platform 9.5, advancing its role in providing active context for agentic AI, analytics, and self-service data delivery.

The AI system that works in New York need not necessarily work in Frankfurt, UK, UAE or Saudi Arabia - and a growing number of multinationals are finding that out the hard way. While the model is the same in both places, what changes at the border is simply everything around it.

The failure pattern of a leadership transition reveals what data strategy institutionalization requires. Without it, a data strategy framework is a dependency, not a strategy.