Deep Learning has been applied to image recognition and natural language processing, but can it work for fraud detection? At the 2018 Grace Hopper Celebration, DataVisor’s Director of Research Ting-Fang Yen explores DataVisor’s novel approach to applying Deep Learning to detect new and previously undetected fraud. She describes DataVisor’s design and implementation of a Deep Learning pipeline based on Spark and Tensor Flow that can be hosted on multiple clouds in demanding, real-time production environments. Join Ting-Fang at 4:05PM on Thursday September 27th, 2018 at GHC18 View posts by tags: DataVisor Related Content: about Ting Fang Yen Ting-Fang Yen is Director of Research at DataVisor. Ting-Fang specializes in network and information security data analysis and fraud detection in the financial, social, and e-commerce industries. She holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon and has previously worked for E8, RSA, and Microsoft. about Ting Fang Yen Ting-Fang Yen is Director of Research at DataVisor. Ting-Fang specializes in network and information security data analysis and fraud detection in the financial, social, and e-commerce industries. She holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon and has previously worked for E8, RSA, and Microsoft. View posts by tags: DataVisor Related Content: