Reading Time: 3 minutesAgentic AI is often described in terms of intelligence: reasoning capabilities, planning, learning, and autonomy. Yet intelligence alone is not what ultimately defines an agent. An agent is defined by its ability to act, and action, by its very nature,…
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: 2 minutesThe recent Iran-Israel conflict is beginning to reshape the economics of enterprise technology. A sustained energy shock is raising fuel, transport, and input costs, hardening inflation expectations and making capital more selective, just as investors grow less tolerant of long…
Reading Time: 3 minutesAll technologies go through a hype cycle — and the data Lakehouse is no exception. After years of aggressive migration push by vendors, many organizations are experiencing Lakehouse Fatigue. They’ve moved data, paid the migration bill, and are still waiting…
Reading Time: 3 minutesDenodo did it again: For the sixth year in a row, Denodo was recognized as a Leader in the Gartner® Magic Quadrant™ for Data Integration Tools report, including the most recent one released on 12/8 of last year. “Data integration…
Reading Time: 3 minutesThis is the last post in my four-part series about AI transformation. The third covered the role of the AI team, the second covered the role of the data team, and the first covered the core ingredient of trust. For…
Reading Time: 2 minutesThis is the third post in my four-part series about AI transformation. The second covered the role of the data team, and the first covered trust. AI innovation is happening at an extraordinary pace. New models, frameworks, and tools are…
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: 3 minutesAcross nearly every industry, organizations are racing to transform how they operate with AI. But despite billions of dollars in investment, real-world results have often been disappointing. Studies consistently show that a significant number of AI initiatives fail to reach…
Reading Time: 3 minutesIn the first part of this series, I provided an introduction to semantic modeling, covering the power of the maieutic approach. In this post, I’ll look into one of the fundamental difficulties of semantic modeling: Its ongoing, iterative nature. “My…
