Reading Time: 2 minutesEvery year, Gartner® publishes “Top Trends in Data and Analytics” reports, and Gartner introduces this year’s report with these words: “In 2026, the leading trends are AI agents, advancements in semantics, and data and analytics platform convergence. For D&A leaders…
Reading Time: 3 minutesA customer opens their banking app and asks about a personal loan. The bank’s propensity model ranks them as a strong candidate. There’s just one problem: their financial position has changed since the model was scored. For Indonesian banks building…
Reading Time: 5 minutesWe often imagine intelligence as the ability to answer questions, but perhaps it is both simpler and more demanding. Before intelligence can answer a question, it must first understand the world in which that question makes sense. A child hearing…
Reading Time: 3 minutesAgentic AI is making headlines, but research shows mixed results for enterprises today, with some sources finding that only 14% have brought agentic AI into production. Why the discrepancy between promise and reality? Many organizations are just not set up…
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…
