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. Sign up to hear from Teradata and Dataiku on some of the 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 with AI
- A brief use case demo on credit card fraud