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 Unreliable or outdated data can have huge negative consequences for even the best-laid plans, especially if you’re not aware there were issues with the data in the first place.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 […]
Data Sips: Interview with Shannon Kempe
Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The final episode of the Data Sips series features Shannon Kempe, DATAVERSITY’s chief digital officer, chatting with host Steve MacLauchlan, head of data at […]
Unlocking AI Success: Creating a Winning Data Strategy
AI has the power to transform industries by analyzing massive datasets and automating complex processes. However, AI’s effectiveness is directly tied to the integrity of the data fueling it. Data governance is required to drive accountability around privacy and ethics, while poor quality data results in inaccurate AI outcomes, leading to customer dissatisfaction, delayed decisions, […]
DGIQ + AIGov Conference: Takeaways and Trending Topics in Data Quality
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 blog post of […]
Data Quality Metrics Best Practices
The amount of data we deal with has increased rapidly (close to 50TB, even for a small company), whereas 75% of leaders don’t trust their data for business decision-making. Though these are two different stats, the common denominator playing a role could be data quality. With new data flowing from almost every direction, there must be a yardstick or […]