Low-hanging fruit – quickest wins for AI enablement

By now, you’ve seen how involved applied ML is for an organization to embrace fully, and we’ve just spent most of this chapter looking through the various growth areas in AI for organizations that are already in business and are looking to capitalize on these growth areas. In Part 1 of this book, we discussed the various layers of infrastructure that need to be supported in an AI program. In Part 2 of this book, we discussed the AI-native product. In this current part of the book, we’re discussing the transition of incorporating AI into a traditional software product. This means we can now move on to set the stage for what this adoption looks like.

Before we get started, a caveat: we really can’t talk about AI transformation unless we also set ourselves up for success to be able to begin the long and arduous process that is AI adoption. We have to make sure the conditions are right. Whether...