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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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Understanding the stages of NPD

In this section, we will be covering the various stages of the NPD cycle as it relates to the emergence of an AI/ML product. Through each stage, we’ll cover the major foundational areas, from the ideation to the launch of an acceptable first version of a product. The steps are laid out incrementally from the discovery stage, in which you brainstorm about the need you’re looking to address in the market and why that need needs to be bolstered by AI. In the define stage, you bring in your product requirements for your product. In the design stage, you bring in the active visual and experiential elements of your end product. In the implementation stage, you build it out. In the marketing stage, you craft a message for your broader audience. In the training stage, you put your product to the test and make sure it’s being used as intended. Finally, in the launch stage, you release your product to a broader audience for feedback. Let&...

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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