Someone’s stealing money from the Iron Bank! After a series of fraudulent transactions, a huge sum of cash is missing.
But who’s the culprit?
This session will show you how to use SQL to implement simple rules-based analysis. It’ll then show you how to use machine learning to spot advanced fraudulent activity. This will cover the pros and cons of both approaches. Finally, demonstrating how a hybrid solution can give you the best of both worlds. The demonstration will be implemented in Autonomous Data Warehouse and Oracle Analytics Cloud for the Iron Bank.
This session is for developers, data scientists, and analysts searching for complex patterns in data.

Speaker: Abi Giles-Haigh, Chris Saxon
Title: “Game of Fraud Detection With SQL and Machine Learning”
Recorded on: Wednesday, May 6th 2020