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Reading Time: 4 minutesThis leading pan-African bank’s main modernization challenge was not scaling its cloud instance. The bank’s greater challenge was more operational: how to deliver trusted data faster across multiple African markets, while keeping critical banking systems running and governance intact. A…
Reading Time: 3 minutesAcross Northern Europe, public sector organisations are not short of data; they are short of outcomes. From the UK’s push for integrated digital services, to the Nordics’ advanced data-sharing ecosystems, to the Netherlands’ focus on trusted, citizen-centric governance, a common…
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 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: 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…
Reading Time: 5 minutesThe insurance industry has spent decades refining its ability to predict risk, building sophisticated actuarial models, investing in analytics, and advancing underwriting science. But 2026 marks a fundamental turning point. Competitive advantage will no longer come from predicting outcomes more…
Reading Time: 4 minutesIn 2026, the gap between AI leaders and AI laggards in banking won’t be measured by model accuracy. It will be measured by how fast a bank can activate trusted data at the moment of decision. Banks have reached a…
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…
