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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: 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 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 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: 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…
