October 2025
Beginner to intermediate
336 pages
7h 17m
English
Content preview from The AI Product Playbook
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
CHAPTER 8Identifying and Evaluating AI Opportunities
You've now built a foundational understanding of the core concepts and technologies behind AI and Machine Learning. You know the difference between supervised and unsupervised learning; you understand the power of neural networks; and you're aware of the capabilities and limitations of LLMs. It's time to move from theory to practice. This chapter is all about developing an “AI-first” mindset as a Product Manager—learning to identify and evaluate opportunities to leverage AI to solve user problems and enhance your product.
Uncovering Potential Use Cases—Mining Your Product for AI Gold
The first step in building successful AI-powered products isn't to jump on the latest technology trend. It's to start with the problem. Just like any good product development process, we begin by deeply understanding user needs, pain points, and opportunities for improvement. However, now we're doing it with an “AI lens”—looking for problems that are particularly well-suited to AI solutions. Think of it like prospecting for gold: you need to know where to look and what to look for.
The key is to identify data-rich problems. AI, and particularly Machine Learning, thrives on data. The more data you have, and the more relevant that data is to the problem, the better the chances of building a successful AI solution. But “data-rich” doesn't just mean “lots of data.” It means data that contains patterns and relationships that can be learned by an ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.