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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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Summary

In this chapter, we covered some promising examples of AI done right in recent years for the purposes of finding inspiration in the successes and use cases of our peers in the space. As a product manager, having an understanding of your go-to-market strategy, business model, and the market you serve is crucial. We are firmly in the era of AI proliferation now. Many businesses are adopting AI within their products and within their businesses, and we hope you’ve enjoyed these examples as we continue to understand the particulars of managing an AI product.

In the next chapter, we will put our futurist hats on and understand a bit about what the emerging trends on the horizon in AI are. We believe all product managers need to have a streak of futurism in their composition. Having a grasp of where things are in the recent and present moments provides a snapshot with which to evaluate your existing strategy. But in tech, things evolve pretty quickly. In business, projections...

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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