February 2021
Beginner
61 pages
1h 29m
English
Content preview from Product Management for AI
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Chapter 3. Bringing an AI Product to Market
The Core Responsibilities of the AI Product Manager
Product managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. In the first two chapters, we suggested that AI PMs are responsible for:
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Deciding on the core function, audience, and desired use of the AI product
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Evaluating the input data pipelines and ensuring that they are maintained throughout the entire AI product lifecycle
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Orchestrating the cross-functional team (data engineering, research science, data science, machine learning engineering, and software engineering)
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Deciding on key interfaces and designs: UI/UX and feature engineering
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Integrating the model and server infrastructure with existing software products
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Working with ML engineers and data scientists on tech stack design and decision making
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Shipping the AI product and managing it after release
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Coordinating with the engineering, infrastructure, and site reliability teams to ensure that all shipped features can be supported at scale
If you’re an AI product manager (or about to become one), that’s what you’re signing up for. In this chapter, we turn our attention to the process itself: how do you bring a product to market?
Identifying the Problem
The first step in building an AI solution is identifying the problem ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.