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

<p><a href="https://www.patreon.com/datameshradio" rel="noopener noreferrer" target="_blank">Data Mesh Radio Patreon</a> - get access to interviews well before they are released</p><p>Episode list and links to all available episode transcripts (most interviews from #32 on) <a href="https://docs.google.com/spreadsheets/d/1ZmCIinVgIm0xjIVFpL9jMtCiOlBQ7LbvLmtmb0FKcQc/edit?usp=sharing" rel="noopener noreferrer" target="_blank">here</a></p><p>Provided as a free resource by DataStax <a href="https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio" rel="noopener noreferrer" target="_blank">AstraDB</a>; George Trujillo's contact info: email (<a href="mailto:george.trujillo@datastax.com" rel="noopener noreferrer" target="_blank">george.trujillo@datastax.com</a>) and <a href="https://www.linkedin.com/in/georgetrujillo/" rel="noopener noreferrer" target="_blank">LinkedIn</a></p><p>For more great content from Zhamak, check out her book on <a href="https://www.oreilly.com/library/view/data-mesh/9781492092384/" rel="noopener noreferrer" target="_blank">data mesh</a>, <a href="https://www.oreilly.com/library/view/software-architecture-the/9781492086888/" rel="noopener noreferrer" target="_blank">a book she collaborated on</a>, <a href="https://www.linkedin.com/in/zhamak-dehghani/" rel="noopener noreferrer" target="_blank">her LinkedIn</a>, and <a href="https://twitter.com/zhamakd" rel="noopener noreferrer" target="_blank">her Twitter</a>.</p><p>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