Chapter 3The AI Journey
In this chapter, we will examine the following:
AI adoption is not a single leap but a journey. The most successful organizations follow a path, building leadership commitment, data infrastructure, skills, operational maturity, and governance in parallel so that AI becomes a sustainable source of value rather than a one-off project. This chapter explores what it means to be “ready” for AI, introducing an AI readiness model and its five dimensions, and showing how these capabilities develop along an AI maturity journey.
Getting Ready for AI
AI is transforming how organizations compete, operate, and innovate. But, as I’ve mentioned previously, achieving success with AI goes beyond deploying a chatbot or experimenting with machine learning models. It requires a deliberate, structured, and scalable approach across multiple parts of the company. It isn’t just about the AI tools or the data tools; getting ready for AI involves a set of interconnected capabilities across the data and analytics life cycle. It involves organizational as well as technological capabilities. A few years ago at TDWI, I developed the AI Readiness Assessment.1 The model recognizes that AI readiness is not just about one thing; rather, it is built on five key dimensions: organizational readiness, data readiness, skills/tools readiness, operational readiness, and governance readiness (Figure 3.1). Each dimension plays a critical role in an ...
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