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You're reading from  The AI Product Manager's Handbook

Product typeBook
Published inFeb 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781804612934
Edition1st Edition
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Author (1)
Irene Bratsis
Irene Bratsis
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Irene Bratsis

Irene Bratsis is a director of digital product and data at the International WELL Building Institute (IWBI). She has a bachelor's in economics, and after completing various MOOCs in data science and big data analytics, she completed a data science program with Thinkful. Before joining IWBI, Irene worked as an operations analyst at Tesla, a data scientist at Gesture, a data product manager at Beekin, and head of product at Tenacity. Irene volunteers as NYC chapter co-lead for Women in Data, has coordinated various AI accelerators, moderated countless events with a speaker series with Women in AI called WaiTalk, and runs a monthly book club focused on data and AI books.
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Macro AI – Foundations and umbrellas

So far, we’ve talked a great deal about ML and DL models in the previous chapters. This was intentional because most of the time when we see AI advertised to us through various products, this is what the underlying technology employed is—for the most part. It’s either a DL or an ML algorithm that’s powering the products we’ve discussed. But as you’ve seen in the previous chapters, AI is a great umbrella term that can actually mean more than just an ML or a DL model is being used.

There are a number of major domains in AI that don’t involve ML and DL. We’ve minimally touched on the other areas but haven’t given them their due in their impact and contributions to the AI landscape. Focusing only on ML and DL makes sense from a practical perspective to offer AI technologists, entrepreneurs, and PMs the best chance to pitch their AI products to investors and users, but it also leaves...

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The AI Product Manager's Handbook
Published in: Feb 2023Publisher: PacktISBN-13: 9781804612934

Author (1)

author image
Irene Bratsis

Irene Bratsis is a director of digital product and data at the International WELL Building Institute (IWBI). She has a bachelor's in economics, and after completing various MOOCs in data science and big data analytics, she completed a data science program with Thinkful. Before joining IWBI, Irene worked as an operations analyst at Tesla, a data scientist at Gesture, a data product manager at Beekin, and head of product at Tenacity. Irene volunteers as NYC chapter co-lead for Women in Data, has coordinated various AI accelerators, moderated countless events with a speaker series with Women in AI called WaiTalk, and runs a monthly book club focused on data and AI books.
Read more about Irene Bratsis