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Reading Time: 3 minutesA customer opens their banking app and asks about a personal loan. The bank’s propensity model ranks them as a strong candidate. There’s just one problem: their financial position has changed since the model was scored. For Indonesian banks building…
Reading Time: 4 minutesComplying with anti-money laundering and countering the financing of terrorism (AML/CFT) regulations is reaching an operational breaking point. New regional compliance packages are being released, local regulators are ramping up their oversight, and traceability requirements are tightening. At the same time, Compliance…
Reading Time: 4 minutesAs AI systems become increasingly embedded within enterprise decision-making and operational processes, organizations require more than accurate outputs. They require intelligent systems whose behavior can be understood, inspected, governed, and contextualized within coherent semantic frameworks. In this context, explainability evolves…
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 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…
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: 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…
