May 2026
Beginner to intermediate
307 pages
7h 5m
English
Content preview from Enterprise AI Productivity: Success Beyond the Hype
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AI Deployment
The full AI development lifecycle includes the following components:
Data curation and preparation
AI model training and validation
AI model deployment
AI model production and monitoring
Smaller organizations can get away with a single AI Research team, but in medium- and large-sized companies, there will be multiple teams handling AI research duties. There are several reasons for this, including the fact that your company may have multiple platforms that are very different from one another. The differences manifest in organization, architecture, and data access rights. Because of these differences, having clearly separated borders between AI teams is expected. In fact, subject-matter expertise and data-access-related ...
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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.