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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: 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: 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: 4 minutesIn the fast-moving world of business, getting the right answer quickly can mean the difference between seizing an opportunity and missing it altogether. We’ve recently seen a surge in the use of generative AI (GenAI) to power chatbots, streamline support,…
Reading Time: 4 minutesEver since the launch of the Denodo AI SDK, we have been overwhelmed and pleasantly surprised by the strong interest and rapid adoption by our customers. This validates our belief that a robust data foundation is critical for AI success,…
Reading Time: 2 minutesThe AI ecosystem is rapidly evolving, driven by breakthroughs in machine learning, deep learning, natural language processing (NLP), and computer vision. Fueling this evolution, major tech companies, research institutions, and open-source communities are democratizing access to powerful new AI tools….
Reading Time: 3 minutesIn upstream oil & gas, the data deluge is no longer a looming threat – it’s the new normal. Seismic volumes are growing. Well logs are multiplying. Environment, social, and governance (ESG) regulations demand more granular data across emissions, water…
