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Fighting FinCrime with ML & AI Techniques

Financial crime (FinCrime) is increasingly costly to businesses across the globe. Based on Refinitiv’s 2018 report, organizations lost in excess of $1.5 trillion in direct costs to FinCrime and are expected to lose even more this year. Keeping ahead of fraudsters seems like an impossible task but advanced analytics – including machine learning and AI techniques – makes it a reality.

Join our upcoming webinar hosted by Teradata and Dataiku to learn some best practices and no–coding development examples for identifying FinCrime. The webinar will feature:

  • Industry trends on combating financial crime
  • Best practices surrounding sensitive data use and speeding up data wrangling processes
  • Tools and techniques required to combat financial crime
  • A brief use case demo on credit card frauds


Ajay Kakarania
Senior Client Partner, Analytics

Aung Myat Khaing, Alex
Enterprise AI Consultant, Dataiku

Remi Turpaud
Lead Ecosystem Architect, Teradata