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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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Feedback loop – relationship building

Continuously monitoring and reinforcing the legitimacy of a complicated system such as an AI/ML pipeline is all in service of the ultimate goal of building relationships that last. Relationships between your company and customers, your development team and your sales team, and your MLOps team and your leadership team are all forged through this work of building and going to market with your AI/ML native product. In AI/ML products, the feedback loop is everything. Nurturing a strong relationship with the builders of these products and the customers they serve is the underlying work of the PM. Productizing is the process of taking a service, process, skill, or idea and finding a way to present that to the greater market. Many layers of work go into accomplishing this well, but at its most basic level, this work is really just an elaborate feedback loop.

We haven’t discussed marketing much in this chapter, but this will also be an...

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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