While several market-leading companies have successfully
transformed their business models by following data- and AI-driven
paths, the vast majority have yet to reap the benefits. How can
your business and analytics units gain a competitive advantage by
capturing the full potential of this predictive revolution? This
practical guide presents a battle-tested end-to-end method to help
you translate business decisions into tractable prescriptive
solutions using data and AI as fundamental inputs. Author Daniel
Vaughan shows data scientists, analytics practitioners, and others
interested in using AI to transform their businesses not only how
to ask the right questions but also how to generate value using
modern AI technologies and decision-making principles. You'll
explore several use cases common to many enterprises, complete with
examples you can apply when working to solve your own issues. Break
business decisions into stages that can be tackled using different
skills from the analytical toolbox Identify and embrace uncertainty
in decision making and protect against common human biases
Customize optimal decisions to different customers using predictive
and prescriptive methods and technologies Ask business questions
that create high value through AI- and data-driven technologies
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