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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: 3 minutesIn the age of boundless data and powerful AI models, companies are facing a stark challenge: how do you train the smartest possible AI while also respecting an individual’s right to control their data, as protected by the General Data…
Reading Time: 5 minutesWhen we talk about data architecture — whether it’s in support of analytics, AI, data science, or combinations of these and other initiatives — we usually start with technology: what’s new, what’s modern, what’s changing. But in this post, I…
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: 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…
Reading Time: 3 minutesIn the first post in this two-post series, we talked about SAP, how many organizations spread their data across SAP, non-SAP, cloud, and on-premises systems, hindering performance and usability, and how SUSE and Denodo create a powerful foundation for SAP,…
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…
