{Bonus} Zhamak's Corner 19.5 - How Does AI/ML Change When Trust is Automatic?

Sponsored by NextData, Zhamak's company that is helping ease data product creation.

For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.

This episode is part of the greater AI/ML conversation I had with Zhamak but it's super important to emphasize the importance of trust - enough so that I created a separate quick episode on it. Not just trust in the data itself but that there is easy access and there will be going forward. A lot of the things we have done in data historically has been defensive in nature - especially grabbing a copy of the data now because who knows when you'll get access to it again.

What if we can implicitly trust that there has been care and foresight in preparation of the data I find, that there is an owner I can ask if I'm confused or curious, that my access won't suddenly go away or that what's there won't suddenly change without my knowledge? In ML/AI, the data scientists have done things in ways that made sense to their situation and challenges. What happens when we make trust inherent? What incremental value does that drive?

Please Rate and Review us on your podcast app of choice!

If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

Data Mesh Radio episode list and links to all available episode transcripts here.

Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf