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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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Thought leadership – learning from peer groups

At the start of this chapter, we discussed the idea of building a foundation in your domain and understanding (as much as possible) what the specific pain points in your domain are with the aim of building an AI product that will serve the space for years to come. Building a product that works well, aligns with what your customers need, and employs modern technology is a fast way to build the credibility that’s necessary to spread thought leadership across your domain.

You might choose to take on a leadership role in your domain in order to be positioned as a leader in your industry. With all the knowledge hubs and white papers and product one-pagers that are out there, it’s common to see companies adopt the role of an industry thought leader for a number of reasons. Maybe this is for marketing, inbound leads, glory, or simply because they’re generous with their knowledge and success.

Choosing how open...

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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