Using Graph Data to Detect Fraud

In this video Data Scientist Garrett Pedersen shares how graph data can transform your approach to fraud detection.
He delves into the advantages of graph analytics over traditional relational tables, showing how visualizing connections can make identifying fraud more intuitive and efficient. You’ll learn the basics of graph structures and see practical examples of how they simplify data analysis, making it easier to uncover complex fraud schemes and hidden patterns.
Find out how graph analytics can enhance your fraud detection toolkit and keep you one step ahead of fraudsters.

[@mathieusherburne2607]

This was super interesting. Great job explaining your thinking.

[@elderresearch]

Glad you enjoyed the video, Mathieu!

[@emmanuelifeanyi3678]

Thanks so much. I am currently working on this project and i hope to get more videos. Please.
Do you have any material with respect to this particular video?

[@jerkmeo]

nice example. It looks like we need to "mine" the graph relations to find out abnormal relations. Is there any recommendation to do it at scale?