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Reading Time: 4 minutesBusiness users want simple answers to apparently simple questions, such as “What counts as a customer, or revenue?” or “Which KPIs can I trust?” and it is up to the data professional, the data architect, or analytics leads, to create…
Reading Time: 2 minutes“…greater than 80% of IT leaders believe their enterprise data is not ready for agentic AI…” – Gartner, from “Innovation Guide for AI Agents” Agentic AI holds great promise, but as this quote from Gartner makes clear, success has been…
Reading Time: 5 minutesFor years, enterprise data architecture has relied on collecting, transforming, and replicating data across multiple systems to serve different analytical and operational needs. This approach has delivered value, but it has also introduced unwanted side effects, over time: unnecessarily duplicated…
Reading Time: 2 minutesAI has fueled a massive hunger for data. Many data science teams operate under the assumption that “more data equals better models,” leading to a culture of collecting and storing everything possible. This pervasive mindset directly clashes with the final…
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: 5 minutesWhen we talk about data architecture — whether it’s in support of analytics, AI, data science, or combinations of these and other initiatives — we usually start with technology: what’s new, what’s modern, what’s changing. But in this post, I…
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…
Reading Time: 3 minutesWhen organizations evaluate enterprise software, analyst reports and vendor briefings can provide valuable guidance, but there’s another perspective that is equally important: the voice of the customer. Understanding what real users say about how a product performs in production, how…
Reading Time: 3 minutesIn the first post in this two-post series, we talked about SAP, how many organizations spread their data across SAP, non-SAP, cloud, and on-premises systems, hindering performance and usability, and how SUSE and Denodo create a powerful foundation for SAP,…
Reading Time: 4 minutesAcross the world, public sector institutions are under pressure to deliver faster, more citizen-centric services—without compromising public trust, security, or compliance. Generative AI (GenAI) promises to accelerate this transformation, but Gartner® in the recent report entitled “The Impact of Generative…
