Summary

So much of this chapter has been about how to anticipate and prepare for the jump to AI/ML. In Part 2 of the book, we heavily discussed concepts related to the AI-native product: a product that’s created with AI initially. Once you do make the jump to fully embrace AI in your own product, you can refer to Part 2, which is more focused on the aspects that come up when you’re in the flow of building AI. In this chapter, we wanted to focus on the preparation stages for embracing AI/ML because of the gravity that comes with AI transformation.

Brainstorming ideas, vetting those ideas with practical considerations, getting your data right, evaluating the competitive landscape you’ll be playing in, and bringing in your stakeholders to make a plan for how to build the transition are all part of AI readiness. All of the ideas expressed in this chapter are also easier said than done, and each section of this chapter will be a process in and of itself, but once...