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 […]
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 […]
Mind the Gap: Did You Know About the ISO 25000 Series Data Quality Standards? Me Neither
This is the first in a two-part series exploring Data Quality and the ISO 25000 standard. In the 1964 dark comedy Dr. Strangelove, or How I Stopped Worrying and Learned to Love the Bomb, General Jack D. Ripper orders a nuclear strike on the USSR. Despite efforts to recall the bombers, one plane successfully drops a […]
Beyond Data Access: Enabling the Data-Driven Journey (Part 2)
Building on Part 1’s assessment and alignment foundation, we now focus on transforming momentum into sustainable data capabilities. Having established stakeholder buy-in and identified pitfalls, the journey continues with practical implementation that delivers measurable value. Success requires advancing three parallel tracks simultaneously: By progressing these tracks in concert rather than sequentially, organizations can maintain momentum, […]
Holistic AI Adoption to Better Manage and Leverage Data
As organizations navigate the complexities of the digital landscape, adopting artificial intelligence (AI) is no longer a luxury but a necessity. AI is set to transform industries, offering unprecedented opportunities for better efficiency, decision-making, and customer engagement. However, many companies still face significant challenges in bridging the AI gap – the space where potential meets […]
Implementing Data Observability to Proactively Address Data Quality Issues
Data-driven decision-making is essential in all organizations, but using low-quality data can potentially be more harmful than using no data at all. Unreliable or outdated data can have huge negative consequences for even the best-laid plans, especially if you’re not aware there were issues with the data in the first place. That’s why data observability […]