Analytical Skills for AI and Data Science: Building Skills for an Ai-Driven Enterprise

While several market-leading companies have successfully transformed  through data- and AI-driven approaches to business, the vast majority  have yet to reap the benefits. How can your business and analytics units  gain a competitive advantage by capturing the potential of this  predictive revolution? This practical guide presents a battle-tested  method to help you translate business decisions into tractable  descriptive, predictive, and prescriptive problems. Author Daniel  Vaughan shows practitioners of data science and others interested in  using AI not only how to ask the right questions but also how to  generate value from data and analytics using modern AI technologies and  decision theory principles. You'll explore several use cases common to  many enterprises, complete with examples you can apply when working to  solve your own issues. With this book, you'll learn how to: Break  business decisions into stages and use predictive or prescriptive  methods on each stage Identify human biases when working with  uncertainty Customize optimal decisions to different customers using  predictive and prescriptive methods Ask business questions with high  potential for value creation through AI and data-driven methods Simplify  complexity to tackle difficult business decisions with current  predictive and prescriptive technologies