Unleashing the power of AI to prevent financial crime
#1about 5 minutes
Using AI to combat financial crime at ING
ING uses AI in areas like transaction monitoring and customer experience, focusing on fraud detection and transaction categorization.
#2about 5 minutes
Understanding credential theft through phishing attacks
Fraudsters use phishing emails to steal login credentials, gain control of an account, and initiate unauthorized transactions that appear legitimate.
#3about 6 minutes
Implementing a two-step fraud detection solution
A hybrid approach combines a rule-based system for initial checks with a machine learning model for anomaly detection based on customer behavior.
#4about 6 minutes
Categorizing transactions to improve customer experience
Transactions are categorized differently based on whether they are card payments, which use merchant codes, or non-card payments, which rely on machine learning models analyzing transaction descriptions.
#5about 4 minutes
Solving the challenge of multilingual transaction data
Machine learning models struggle with transaction descriptions in multiple languages, as performance degrades for minority languages with less training data.
#6about 4 minutes
Creating a scalable translation mapping solution
A custom translation table is built by identifying frequently occurring keywords in the majority language and mapping them to their equivalents in minority languages, improving model accuracy.
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Jobs that call for the skills explored in this talk.
Association Bernard Gregory
Canton de Nancy-2, France
Data analysis
Machine Learning
Banco Santander, S.A.
Castro Urdiales, Spain
GIT
JIRA
NumPy
SciPy
DevOps
+6
ING
Brussels, Belgium