AI Gap Study

The AI Gap study

February 2019 EDITION

The AI Gap study, a PYMNTS and Brighterion collaboration, analyzes the survey response data of more than 200 financial executives from commercial banks, community banks and credit unions across the United States to provide a comprehensive overview of how financial institutions leverage AI and ML technology to optimize their businesses. To this end, we gathered more than 12,000 data points on financial institutions with assets ranging from $1 billion to more than $100 billion. This report details the results of our extensive research.

Key Findings from the study include:

  • 70.5% Share of FIs that used data mining to fight fraud
  • 4.1 Average number of algorithmic tools used by banks with more than $100 billion in assets
  • 2.5% Share of FIs that used AI systems to enhance payments services

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