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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.
Read more about Irene Bratsis

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Part 3 – Integrating AI into Existing Non-AI Products

Many companies will embark on the journey of integrating AI and machine learning (ML) into their existing products because of the competitive advantage and strategic influence that AI has across industries.

The third part of this book will focus on evolving existing products that don’t currently use ML or deep learning (DL) to leverage AI. In the previous part, we discussed building an AI-native product and how the process unfolds in a way that’s optimal from a data, company, and strategy perspective. Using this same lens, we will now compare and contrast how this process unfolds for products that don’t currently leverage AI. By the end of this part, we’ll understand the impact and scale AI is having on individual companies and the industries they’re a part of. We will end this part with a comprehensive guide to bringing AI/ML capabilities into traditional software products.

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Published in: Feb 2023Publisher: PacktISBN-13: 9781804612934
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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