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Data Governance Circle

539 members • Free

3 contributions to Data Governance Circle
Data Governance Maturity versus AI Governance Maturity
A few years ago the state of data governance was like the wild west. Since then it has seemingly matured a bit so there is general acceptance in business circles that it is a good idea, though people still seem to struggle with how to implement it, how to define it, and how to prioritize and fund it. In my observation there is a recent move to accept that data governance needs to be in service to business priorities and problems and not just data governance for the sake of data governance. If data governance was the wild west, it seems that AI governance is the wild, wild west. They hype around AI seems to be creating a feeding frenzy to implement it even when there are not clear use cases. It is in everything from Excel and Word to Internet searches to project management and ticketing software such as Jira, Smartsheet, and ServiceNow. The fear is that if you don't implement AI you'll get left behind by the populace that is clamoring for it, whether that differentiator is valid or not. What do you all think? Is data governance reaching some semblance of maturity, or at least adolescence? Is AI governance different enough that it should be handled by different people? Is the demand for AI governance outpacing the ability to understand and implement it? Will they eventually converge? I welcome your thoughts?
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Hello from Atlanta!
Hey y'all, I'm a data governance advocate and practitioner, a bit of a data quality nerd, and have been working in healthcare for many years. Glad to be here because nobody knows everything about data governance and it is different at each and every company, so we all have things to share to make our data governance community stronger. I welcome all connections on LinkedIn (https://www.linkedin.com/in/billwoodmba/) and can talk data governance all day. I'm avidly learning about AI governance and how it differs from data governance. Pleased to meet you all!
1 like • 3d
@Angelina Lesnikova you are exactly right about the hype effect. While data governance has had a few years to settle down, it is still not very well understood by the larger populace. The community has grown more mature and there are some inroads to adoption by business concerns. I think the hype around AI is hurting both data governance and AI governance. AI governance is related to but separate from data governance, but the hype is driving the urgency to implement AI governance past where the maturity is, and leaving data governance as the boring overlooked cousin regardless of its relative maturity.
Hello from France! 👋
Hi everyone! I’m Léa, a recent engineering graduate with a dual expertise in Data Science and Engineering Management. I’m passionate about the power of data — not just for its technical potential, but for how it can drive smarter business decisions and even fuel creativity in industries like media, arts, and entertainment. I thrive on continuous learning and believe there’s always room to grow, whether it’s diving into new tools, exploring innovative use cases, or connecting with like-minded professionals. This community seems like the perfect place to do just that! I’m excited to learn from all of you, share insights, and contribute however I can. Looking forward to the conversations ahead!
0 likes • 8d
Bonjour, Lea! I fondly remember working for the United Nations (UNHCR) in Geneva for a few months, living just over the border in France.
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Bill Wood
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3points to level up
@bill-wood-2113
I'm a data governance professional with extensive healthcare experience.

Active 1d ago
Joined Apr 1, 2026
Atlanta, GA, USA