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Seven steps to implementing successful artificial intelligence projects

Utilising data and AI at a business level to drive the overall value of the customer is very different from using it at the tactical level to optimise a channel or clicks and warrants considerable upfront planning.

In this paper, we explore the steps that organisations need to take to implement AI into their organisation to ensure the greatest chance of success including tips on:

  • Diagnosing if AI is right for the business objective
  • Understanding how AI projects differ
  • Leading with C-level support
  • Putting the right team in place
  • Using the right data
  • Having the right IT Infrastructure
  • Doing the right thing – Explainability and data ethics