Anomaly Detection in Banking Using AI

This chapter will look at the process of anomaly detection from a Watson Analytics perspective, walking through an example use case project relative in to  the banking industry in which transactions are evaluated to identify potentially fraudulent situations.

This chapter will cover the following topics:

  • Defining the problem
  • Starting the project
  • Developing the project
  • Reviewing the results
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