The previous five chapters have explored topics such as core AI technologies, project lifecycles, AI project management approaches, and your evolving role as a modern AI project manager. This will all be useful as you seek to embrace the AI project management mindset, but you also need tools that let you implement your own approach.
In this chapter, you’ll find information about all the tools and platforms used to manage (and participate in) AI projects, at both the managerial and technical levels. You can use these pages as the initial blueprint for building your own AI project toolkit, a curated set of systems that will help you facilitate your AI management tasks.
We will cover three categories of tools that you need to be familiar with, as shown in Figure 6-1.
Figure 6-1. Categories of tools for managing AI projects
These three categories represent the key tooling elements that you need in your pocket to manage AI projects end to end. They will help you handle everything from strategic planning to model deployment, giving you visibility across the AI lifecycle and a structured foundation for collaboration between business and technical stakeholders.
While some examples in this chapter will mention well-known vendor tools, the intention is not to recommend specific products or brands but to outline tool categories and their practical ...
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