Read more about author Irina Steenbeek. In this series of blog posts, I aim to share some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominent topics discussed in the conference’s core subject areas: data governance, data quality, and AI governance.  In the first three blog posts of this series, I shared my observations and…

Read more about co-authors Michele Iurillo and Daniel Torbellino Rubio. In a world where data is the most valuable asset for decision-making, companies are looking for approaches that allow them to optimally manage, govern, and leverage information. Data “fabresh” has emerged as an innovative model that combines the best of data fabric and data mesh, fusing technological robustness with a decentralized organizational approach. What Is Data Fabresh? The term “data…

Read more about author Don Boxley. Artificial intelligence is changing everything – and its impact on high availability (HA) clustering is no exception. The way in which AI and HA are coming together is making clusters more resilient, self-sustaining, and increasingly smarter at handling workloads. In other words, instead of IT professionals continuously putting out fires – constantly adjusting and working to fix things – AI-driven HA clusters are optimizing…

Read more about author Richard Kreuser. Over the years, interest in artificial intelligence has cycled through periods of intense hype followed by mass disillusionment. To achieve genuine business value from AI, organizations must move past the hype and focus on pragmatic deployment – but that also requires a shift in mindset. Focusing on the following six critical elements will provide a solid foundation for doing so. Define a Clear Business…