As part of creating an AI strategy, and in order to successfully pursue and generate real value from AI initiatives, companies must have a certain degree of AI readiness and maturity. I have created an AI Readiness Model that breaks AI readiness into four categories, and I have also created three models related to maturity.
In this chapter, we go over AI readiness and AI maturity, and their respective models in detail. Recall that the AIPB Assessment Component defines three categories: readiness, maturity, and key considerations. This chapter focuses on the first two categories; Chapter 13 looks at key considerations.
You should carry out assessment of all three categories during the initial assess phase of the AIPB Methodology Component, which should result in an assessment strategy. This strategy should identify AI readiness and maturity gaps, with a plan to fill them, and also address key considerations that should be taken into account and planned for when pursuing AI initiatives.
Let’s begin our discussion with the concept of AI readiness.
AI Readiness
Figure 12-1 shows the AI Readiness Model that I created, a simplified version of which was first introduced in Chapter 3.
Figure 12-1. The AI Readiness Model
These four categories—organizational, technological, financial, and cultural—when combined, are the primary factors contributing ...
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