#191 Zhamak's Corner 17 - AI/ML's Place in Data Mesh

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/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.Humans by our very nature categorize things - otherwise how can we really differentiate? How can we learn about new ideas and experiences if not finding a way to store them in our mental models. And in data, we've been treating diagnostic and descriptive analytics as an entirely different category to the predictive analytics of AI and ML. The way we partition the world in data is around how data will be used and then prepare the data as such, to be very fit for purpose. What if instead we partition around the data domain and don't really care about who or how things are used - we want to serve all consumers - what changes? Can we create data that is simply usable by many? Does that actually reduce complexity overall by not owning data production designed to specific purposes? Do we really need to treat AI/ML as if their consumption is all that different or special?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 hereData 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