You're reading from The AI Product Manager's Handbook

Product typeBook

Published inFeb 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781804612934

Edition1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1)

Irene Bratsis

Part 1 – Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well

An AI product manager needs to have a comprehensive understanding of AI, along with all the varied components that lead to its success, if they’re going to be successful in commercializing their products.

This first part consists of five cumulative chapters that will cover what the term AI encompasses and how to support infrastructure to make it successful within your organization. It will also cover how to support your AI program from a maintenance perspective, how to navigate the vast areas of machine learning (ML) and deep learning (DL) and choose the best path for your product, and how to understand current and future developments in AI products.

By the end of this part, you will understand AI terms and components, what an AI implementation means from an investment perspective, how to maintain AI products sustainably, and how to choose between the types of AI that would...

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Author (1)

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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