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Businesses in the UAE will face closer scrutiny over how they deploy artificial intelligence and govern data after the Gulf state consolidated oversight of both under a single regulator.
Denodo has released version 9.5 of its data management platform, aimed at organisations using AI and analytics tools that depend on governed access to business data.
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, 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 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, is releasing 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.
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
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AI -Driven Decisions: Closing the Trust Gap for Public Sector Agentic AI
AI has quickly evolved from a back-office experiment into a technology embedded with mission-critical operational workflows, directly integrating into high-stakes areas like citizen services, fraud prevention, and real-time safeguarding. For AI-driven decisions to be successful in these environments, they must be timely, explainable, and grounded in a complete view of every case.