Search Results
Reading Time: 5 minutesFor years, enterprise data architecture has relied on collecting, transforming, and replicating data across multiple systems to serve different analytical and operational needs. This approach has delivered value, but it has also introduced unwanted side effects, over time: unnecessarily duplicated…
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: 5 minutesThe insurance industry has spent decades refining its ability to predict risk, building sophisticated actuarial models, investing in analytics, and advancing underwriting science. But 2026 marks a fundamental turning point. Competitive advantage will no longer come from predicting outcomes more…
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 minutesThe AI landscape is evolving fast. In just the past year, we’ve seen a shift from traditional AI models that respond to prompts, to AI agents that act autonomously, reason in real time, and make decisions across complex systems. But…
Reading Time: 6 minutesWe live in an age in which everything seems predictable, calculated, and optimized; every choice, every action, leaves a digital trace, every behavior becomes data, and every desire is anticipated by an algorithm. This is a hyper-rational age, in which…
Reading Time: 5 minutesThe future of data belongs not only to those who analyze it, but to those who dare to discover it. The woods are lovely, dark and deep, but I have promises to keep, and miles to go before I sleep…
Reading Time: 3 minutesWhen organizations evaluate enterprise software, analyst reports and vendor briefings can provide valuable guidance, but there’s another perspective that is equally important: the voice of the customer. Understanding what real users say about how a product performs in production, how…
Reading Time: 4 minutesBy 2027, half of all business decisions will be made or augmented by AI agents. That’s not a sci-fi projection—it’s a Gartner prediction. But if you’ve ever asked ChatGPT a “why” question about your business, you already know the gap…
Reading Time: 3 minutesAI is transforming how businesses operate — but it is simultaneously exposing just how fragile many data foundations really are. As organizations rush to operationalize AI, they discover that the biggest obstacle is not model sophistication, but the data: where…
