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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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The tech stack – early signals

Understanding whether your product works for your customers and users or not can be difficult or delayed when you are not set up to get an early signal. Not all companies have the luxury of asking their customers and users directly for feedback that’s comprehensive enough to use to inform decisions. This is why investing in a growth-hacking tech stack is helpful if you’re trying to understand whether your product resonates with your audience, particularly if it’s an AI/ML product.

As you may recall, we discussed the prices associated with building an AI/ML program in Chapter 2 and Chapter 3. Given the high cost of operating, you’ll want to be sure that your product serves the needs of your market and your customers as quickly as you can.

Keep in mind your costs are likely high when managing an AI/ML program, but they’re also dependent on how many AI features you’ve built into your product, particularly...

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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