AI in Fraud Detection - Ritavan & Christian Barte

CFA Association Russia held the third event of the fintech series with the German management consulting firm Horvath & Partners focusing on the use of AI in the finance industry. This time, principal Christian Barte and his colleague Ritavan, a senior machine learning specialist, gave a presentation on the use of AI to detect fraud and improve risk management processes.

With a strong background in mathematics, Ritavan provided detailed information on the key methods of detecting fraud using AI and big data. The speaker discussed a few algorithm-based predictive methods, including Random Forest, Gradient Boosting, and Isolation Forest. 



AI in Fraud Detection - Ritavan & Christian Barte, part 1

AI in Fraud Detection - Ritavan, part 2

AI in Fraud Detection - Ritavan, part 3

AI in Fraud Detection - Ritavan, part 4

AI in Fraud Detection - Ritavan, part 5

AI in Fraud Detection - Ritavan, part 6

AI in Fraud Detection - Ritavan, part 7

AI in Fraud Detection - Ritavan, part 8

AI in Fraud Detection - Ritavan, part 9

Finding a right dataset to train fraud-detecting algorithms

Determining fraud and finding it in a sea of data

Constantly re-train algorithms to keep them sharp

Random Forest learning algorithm

Algorithmic trading in the financial markets

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