Read more about author Samuel Bocetta. Data used to be a physical thing, stored on paper and in ledgers. Security was also a physical thing, with valuable data protected by actual locks and guards. Today, we navigate a landscape dominated by code, algorithms, and digital streams of data, a far cry from those early days. Yet, despite these transformative changes, the essence of what makes data “smart” remains rooted in…

Read more about author Artyom Keydunov. Although it’s a rewarding career, the job of chief data officer (CDO) comes with a long list of challenges, including massive data volumes and complexity, lack of high-quality data, privacy regulations, executive alignment, artificial intelligence (AI) and machine learning integration, and bridging the gap between technical data expertise and business objectives. What’s more, CDOs struggle to secure adequate funding and staffing to implement data…

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…