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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 minutesSemantic models, logical data architectures, and why Denodo is the ideal companion for traditional AI, generative AI, and RAG Artificial intelligence has made extraordinary progress in recent years. From predictive models to generative systems capable of producing text, images, and…
Reading Time: 2 minutesThe rapid acceleration of artificial intelligence (AI) into core business functions is setting the stage for the most significant data privacy challenge of 2026: Complying with the General Data Protection Regulation’s basic privacy principles. The first post in this series…
Reading Time: 2 minutesArtificial intelligence (AI) has exited the lab and entered the boardroom, promising unprecedented efficiency and insight. Yet its transformative power is often at odds with the General Data Protection Regulation (GDPR). The core challenge is this: AI’s boundless data hunger…
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: 2 minutesThe promise of artificial intelligence in government is compelling: smarter decision-making, proactive citizen services, and lightning-fast crisis response. Yet for many agencies, AI projects stall—not because of a lack of models or ambition, but because of one fundamental obstacle: Data…
Reading Time: 3 minutesRecent MIT research, popularized in Fortune and other publications, uncovered a sobering statistic: 95% of enterprise GenAI projects fail to deliver positive ROI. Despite billions of dollars invested, most organizations are left with stalled pilots, brittle workflows, and no measurable…
Reading Time: 4 minutesEver since the launch of the Denodo AI SDK, we have been overwhelmed and pleasantly surprised by the strong interest and rapid adoption by our customers. This validates our belief that a robust data foundation is critical for AI success,…
Reading Time: 4 minutesGenerative AI (GenAI) is no longer a novelty or optional experiment for financial institutions. From global banks to asset managers and fintech upstarts, it is rapidly becoming the cornerstone of next-gen transformation. But unlocking real value—and avoiding headline-making risks—requires more…
