Reading Time: 5 minutesMany believe they have addressed AI sovereignty because they know where their model is running. Perhaps they use a private model, deployed in a sovereign cloud, or keep inferences within a particular region. That is a start. But it does…
Reading Time: 8 minutesThis is a version of a post that was originally published on LinkedIn. Agentic AI has a big problem. Not a model problem. Not a prompt engineering problem. Not an agent framework problem. But a data problem. As organizations race…
Reading Time: 4 minutesComplying with anti-money laundering and countering the financing of terrorism (AML/CFT) regulations is reaching an operational breaking point. New regional compliance packages are being released, local regulators are ramping up their oversight, and traceability requirements are tightening. At the same time, Compliance…
Reading Time: 5 minutesIn short: Denodo delivers the AI data orchestration foundational layer: the infrastructure that determines what enterprise data every AI application and agent can access, trust, and act on, and it automates the delivery of that data. It dynamically connects, contextualizes,…
Reading Time: 4 minutesAs enterprise AI evolves from assistants that answer questions to agents that plan, retrieve information, call tools, validate results, and take action, token economics become more complicated, and therefore more important to manage. A conventional chatbot might process a prompt…
Reading Time: 6 minutesAI teams are moving fast. They are building copilots, assistants, agentic workflows, and AI-powered applications that need access to enterprise data, tools, APIs, and operational systems. The urgency is understandable. Business leaders want AI to move beyond experimentation and begin…
Reading Time: 6 minutesFew things undermine trust in data faster than two dashboards showing different answers to the same business question. It usually starts innocently. A sales leader asks for revenue by region. Finance has one number. Sales operations has another. The BI…
Reading Time: 7 minutesFor years, data integration was often discussed in practical terms: connecting systems, reducing data movement, improving performance, and giving business users faster access to information. Those priorities still matter. But AI is changing the conversation. As organizations move from dashboards…
Reading Time: 4 minutesEvery year, Gartner releases Critical Capabilities reports that, I feel, provide a rigorous comparison of vendors. They complement the Gartner® Magic Quadrant™ reports, for a deep understanding of how the different vendors compare. In this post, I’ll be covering the 2025…
Reading Time: 4 minutesAs AI systems become increasingly embedded within enterprise decision-making and operational processes, organizations require more than accurate outputs. They require intelligent systems whose behavior can be understood, inspected, governed, and contextualized within coherent semantic frameworks. In this context, explainability evolves…
