Search Results
Reading Time: 8 minutesThis is a version of a post that was originally published on LinkedIn. Agentic AI has a big problem. Not a model problem. Not a prompt engineering problem. Not an agent framework problem. But a data problem. As organizations race…
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: 3 minutesAs I hope I’ve shown through posts 1 and 2 in this series, developing semantic models is not a purely technical exercise, nor is it a purely conceptual one. It is a delicate act of mediation between experience and formal…
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 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: 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: 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: 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…
