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 […]
DGIQ + AIGov Conference: Takeaways and Cross-Cutting Topics
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 […]
Data Fabresh: The Fusion Between Data Fabric and Data Mesh
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 […]
AI and High Availability Clustering – The Future of Self-Managing Systems
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 […]
Six Steps Organizations Can Take to Gain Value from AI
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 […]
Ask a Data Ethicist: How Is Price Optimization a Data Ethics Issue?
Companies tend to want to optimize their pricing, while consumers generally try to find the best deal possible. Traditionally, we’ve navigated the tension in ways that respect ethical norms and, of course, laws such as anti-gouging and anti-price discrimination where applicable. At a moment when tariffs are set to raise prices and the cost of […]
4 Ways to Build a Culture of AI Compliance
For years, AI innovation has outpaced regulation, allowing companies to develop and deploy AI systems with relatively little oversight. That era is coming to an end. Governments around the world are introducing comprehensive AI regulations, from the European Union’s AI Act, to NIST, down to state and local laws. As scrutiny intensifies, companies simply can’t […]
How Dirty, Duplicate Data Prevents Businesses from Being Data-Driven
It’s a data-driven world, yet most businesses are struggling with dirty data; worse, many are still unable to perform basic tasks like deduplication and record linkage efficiently (and affordably). A recent report from my company, “Inside 2024’s Data Quality Challenge: Insights from the Frontlines,” reveals some eye-opening insights drawn from real-world conversations with customers. Companies […]
Book of the Month: “Non-Invasive Data Governance Unleashed”
In April’s Book of the Month, we’re looking at Bob Seiner’s “Non-Invasive Data Governance Unleashed: Empowering People to Govern Data and AI.” This is Seiner’s third book on non-invasive data governance (NIDG) and acts as a companion piece to the original. It provides some focus on how to apply NIDG principles and leverage data governance to […]
DGIQ + AIGov Conference: Takeaways and Trending Topics in AI Governance
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 two […]