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