Businesses need to rethink their relationship with technology in order to remain competitive. The transformation to technology is only accelerating and we will never see a pace of change as slow in the future as we have the last few years. As a result, businesses are in a state of "adapt or die". Companies such as Apple and * are leveraging innovative tools and investments to become market leaders. Microsoft and OpenAI have developed new technologies, such as GPT-4, which have generated a lot of public attention. However, the data science field is still jaded due to past false starts. To unlock the value trapped in data, businesses need to form a partnership between the executive level, strategists, and technical experts, and develop a new top-level technology model. With the new user-technology relationship paradigm, businesses are handing over more autonomy to models for intelligent processes. This book explains how to go from a legacy business to a competitive and profitable business using data and AI. It covers the three pillars of success for data and AI initiatives: frameworks, roadmaps, and technical implementations. To be successful, businesses must align their teams, strategies, and technology, and develop the necessary roles, such as data product managers and data strategists.

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