Mar 15–18, 2020
Deepak Pai

Deepak Pai
Manager, AI Machine Learning Core Services, Adobe

Deepak Pai is a manager of AI machine learning core services at Adobe, where he manages a team of data scientists and engineers developing core ML services. The services are used by various Adobe Sensei Services that are part of the experience cloud. He holds a master’s and bachelor’s degree in computer science from a leading university in India. He’s published papers in top peer-reviewed conferences and have been granted patents.

Sessions

11:30am12:00pm Monday, March 16, 2020
Location: LL20A
Sriram Ravindran (Adobe Inc), Deepak Pai (Adobe), Shubranshu Shekhar (Carnegie Mellon University)
Sriram Ravindran, Deepak Pai, and Shubranshu Shekhar discuss developing a fraud detection model using state-of-the-art graph neural networks. This model can be used to detect card testing, trial abuse, seat addition, etc. Read more.
11:50am12:30pm Tuesday, March 17, 2020
Location: LL21A
Shankar Venkitachalam (Adobe), Megahanath Macha Yadagiri (Carnegie Mellon University), Deepak Pai (Adobe)
Identifying customer stages in a buying cycle enables you to perform personalized targeting depending on the stage. Shankar Venkitachalam, Megahanath Macha Yadagiri, and Deepak Pai identify ML techniques to analyze a customer's clickstream behavior to find the different stages of the buying cycle and quantify the critical click events that help transition a user from one stage to another. Read more.

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