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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…
Reading Time: 3 minutesThis is the second post in my four-part series about AI transformation. The first covered trust, the most important ingredient in this transformation. As enterprises push toward AI-driven operations, data teams are facing a new mandate. In the past, their…
Reading Time: 4 minutesBusiness users want simple answers to apparently simple questions, such as “What counts as a customer, or revenue?” or “Which KPIs can I trust?” and it is up to the data professional, the data architect, or analytics leads, to create…
Reading Time: 3 minutesSemantic models, logical data architectures, and why Denodo is the ideal companion for traditional AI, generative AI, and RAG Artificial intelligence has made extraordinary progress in recent years. From predictive models to generative systems capable of producing text, images, and…
Reading Time: 4 minutesIn 2026, the gap between AI leaders and AI laggards in banking won’t be measured by model accuracy. It will be measured by how fast a bank can activate trusted data at the moment of decision. Banks have reached a…
Reading Time: 4 minutesAcross the world, public sector institutions are under pressure to deliver faster, more citizen-centric services—without compromising public trust, security, or compliance. Generative AI (GenAI) promises to accelerate this transformation, but Gartner® in the recent report entitled “The Impact of Generative…
Reading Time: 3 minutesRecent MIT research, popularized in Fortune and other publications, uncovered a sobering statistic: 95% of enterprise GenAI projects fail to deliver positive ROI. Despite billions of dollars invested, most organizations are left with stalled pilots, brittle workflows, and no measurable…
Reading Time: 8 minutesNowadays, the term “RAG” is fairly well understood. Or is it? Many know that it stands for retrieval augmented generation, but recently I’ve encountered some confusion around the “R” (retrieval) aspect of RAG. I think that much of that confusion…
Reading Time: 2 minutesThe world of enterprise AI is entering a new phase—one defined not just by chatbots or single-step actions, but by intelligent agents capable of planning, reasoning, and taking action. This shift, from generative AI (GenAI) to agentic AI, represents a…
Reading Time: 5 minutesFinancial institutions today are facing an overwhelming surge of transient data—high-velocity, short-lived, and often mission-critical. From streaming trade data and fraud signals to real-time KYC updates and credit scoring models, the tempo of financial operations has shifted to milliseconds. Yet…
