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Nice content and timely

Hi and many thanks for this video. I am a little bit confused about the fact that you said that AI governance is a subset of data governance. As far as I know, dealing with data quality, security and other is part of any AI project. So, in my sens data governance is a subset of AI governance. Please tell me what do you think? I would love to discuss.

Hi, Thank you for such a well-articulated video on the relationship between AI governance and data governance! I appreciate the clarity with which you presented the challenges and opportunities in aligning these two areas. I wanted to share a few thoughts: 1. AI Governance as Part of Data Governance: Your suggestion to integrate AI governance into data governance resonates strongly with me. It simplifies compliance processes and avoids the siloed approach many organizations struggle with. A unified framework could reduce friction for users and ensure a more holistic governance strategy. 2. Need for Expertise: I agree with your point that data governance professionals don’t need to become AI experts. However, fostering collaboration between AI specialists and data governance teams could create a well-rounded governance structure. Perhaps even defining shared roles or processes could bridge this gap further. 3. Balancing Ethics and Quality: It’s interesting how you highlighted that organizations often focus on ethical concerns and regulatory compliance in AI without prioritizing data quality. It feels like an opportunity is being missed here, as poor-quality data can exacerbate the ethical and compliance challenges they are trying to address. 4. User-Centric Governance: The idea of having a single forum and checklist for governance processes is brilliant. Making governance user-friendly is often underestimated, and this approach could significantly improve adoption and compliance. Your enthusiasm for the growing demand for data governance is inspiring, especially as AI accelerates the need for it. I'd love to hear more about practical steps or examples you've encountered where organizations have successfully integrated AI governance into their data governance framework. Thanks again for shedding light on such an important topic. Looking forward to more of your content!

Fascinating interview and insights. thanks Nicola and Dennis! Just wish it could have been longer

Thanks Nicola, this was helpful and consise

Tommorow's my ai's exam and it helped me thanks😊

Medical records for for my lawyer

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Need my medical records

Brilliant as always Nicola!

Another very good discussion. Thanks, Nicola and George.

I have been following your podcast on TH-cam! What an excellent interview and conversation.

This was extremely helpful!!!

That was an especially good explanation dear Nicola! And yes, I smiled several times - you are so right!

Thanks for sharing!!! You both are amazing!

Great answer

Hi, One question out of topic, how do you create a generic DG policy for a project where all the policy will not be relevant

Great video thanks❤

I agree, Data Governance first

Great practical advice as ever!

Halp

How are Data Custodians different from Technical Stewards?

Hi there, great info.. fyi, the 1st two links aren't active

Great

Very great video and a foundational topic.

Interesting

I would like to the stakeholders who can log DQ issues. I have a concern on how to prioritize DQ issues. How do I mitigate against the logging process being overwhelming. How do we ensure that only top priority DQ issues are raised.

See the following link to one of my previous videos for some guidance on how to implement a Data Governance framework: th-cam.com/video/wU_nUQHZUlE/w-d-xo.html

Thanks Nicola

Business are often surprised when I tell them IT doesn't own the data - it's a business asset. It's the business which will make decisions off the back of well governed data - not IT.

Very good video, simple but powerful. Especially for people starting their journey.

Lear more with my top tips here: docs.google.com/document/d/1G9YPU3vsvYq0sLYkSRYbigUZAt1z-ucoS0AcnYnD6sY/edit

You are so brilliant, thank you for your hard work.

Really great point and good anaology!

This is the link to my other video explaining what a Data Governance policy is! th-cam.com/video/pF9LAx-kN5I/w-d-xo.html

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Keep it up dude!!! I think you will be interested in smzeus!

But how you define who is the owner in such kind of data? there are any questions we could answer to get the right person to be responsible for? thanks!

Thank you Nicola

Link to the original video is here! th-cam.com/video/wU_nUQHZUlE/w-d-xo.html

Very insightful, thank you for sharing

www.silwoodtechnology.com/blog/unlocking-the-power-and-value-of-metadata/

Some more videos relating to Data Owners can be found on the following links. Enjoy! th-cam.com/users/shortsplsVC9iSFRY th-cam.com/users/shortsd3HRWf0o_uQ

I did everything engineering and managing very hard 😢

So what can you do if you are the creator , and need full access ?

Thanks for the video, Nicola. Why would a Data Product Owner be different to a Data Owner if the product derived by the "Data Product Owner" comes from data owned by Data Owners? Should the data governance committee rather not decide on the rules of use for the Data Product, rather than leaving this for the "Data Product Owner" to do, and in so doing, introducing what seems to me to be a conflicting role?

Awesome

@TheDataGovernanceCoach I'm afraid I have a silly question, sorry. Where would the data governance fit if I were to draw a timeline for the data engineering process? Would it be before the engineers start data ingestion or somewhere else along the pipeline? BTW. That was the best explanation I've ever heard. Thanks.

Nicola, we ended up with the option of having two data owners. Only thing is we called them as Primary Data Owner and Secondary Data Owner. The criteria is the function who produces the data with maximum number of critical attributes is defined as the Primary Owner and the other function is tagged as the secondary data owner. From a RACI perspective, the primary owner has the accountability of that complete data entity and the secondary owner has the responsibility on the critical data attributes that he owns in that data entity.