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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: 6 minutesFew things undermine trust in data faster than two dashboards showing different answers to the same business question. It usually starts innocently. A sales leader asks for revenue by region. Finance has one number. Sales operations has another. The BI…
Reading Time: 7 minutesFor years, data integration was often discussed in practical terms: connecting systems, reducing data movement, improving performance, and giving business users faster access to information. Those priorities still matter. But AI is changing the conversation. As organizations move from dashboards…
Reading Time: 5 minutesFor decades, enterprises have pursued digital transformation with near-religious conviction. They have implemented ERP systems, migrated to cloud infrastructures, adopted CRM ecosystems, invested in analytics platforms, and, more recently, embraced artificial intelligence as the presumed apex of technological evolution. However,…
Reading Time: 6 minutesEvery meaningful model begins with an act of understanding, and this happens before structure, schemas, diagrams, or formal rules. In the Denodo Platform, this act takes shape within the semantic layer, where data is not merely connected but interpreted. Logical…
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: 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: 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…
