Data Makes the World Go 'Round

Chapter 21Tying It All Together

In this chapter, we will examine the following:

• The minimum viable checklist
• A comprehensive checklist
• Conclusion

We’ve covered a lot of ground in this book, but none of it stands alone. AI succeeds when all the pieces: strategy, data, skills, operations, and governance come together in the right way. In this chapter I’ll tie the major themes together to give you an overall picture of what it takes to build an AI-ready enterprise.

As you look back across the chapters in this book, I hope a clear narrative emerges. It starts with the fact that AI does not succeed over the long haul because organizations install new tools or implement isolated projects. Yes, that can work for a little while as organizations gain efficiency benefits. For long-term success, AI succeeds when the enterprise is prepared for it. That preparation shows up in the strategy, the data, the architecture, the processes, the skills, the governance, and the culture. Every chapter, in one way or another, has shown that AI magnifies whatever operating conditions already exist inside an organization. Strong foundations accelerate momentum. Weak or inconsistent foundations can slow progress, create friction, and can even amplify problems. AI can expose the gaps quickly and, as we have seen, sometimes unforgivingly.

From the beginning of the book, I emphasized that strategy comes first. Not a vague “let’s use AI,” but a clear articulation of the problems worth solving and the outcomes ...