Wai Gen Yee is the former Head of Data Science at Grubhub and focuses on Martech (Marketing Technology), specifically email marketing, paid search, and paid social. He also has several collaborations across different company functions, such as Finance and Technology. Prior, he was Chief Data Scientist at Sears, focusing on pricing and promotion strategies. He was also Chief Scientist at Orbitz Worldwide, where he built the machine learning and personalization function. He received his Ph.D. from Georgia Tech.
This talk covers two trendy techniques in improving e-commerce performance - neural network embeddings and lift modeling. It will describe how they were applied in e-commerce for search result ranking and email marketing to drive significant business improvement.
Vineet Abhishek manages the machine learning team for Snapchat ads ranking. Previously he co-founded an AI startup (Neulogic.ai, Alchemist Accelerator class 18), led product search ranking and A/B testing at Walmart Labs, and architected algorithmic bidding for sponsored ads campaigns at Adchemy (acquired by Walmart Labs). He holds a Ph.D. from the University of Illinois at Urbana-Champaign, M.S. from Stanford University, and B.Tech from IIT Kanpur (India).
The nuances of deep learning training dynamics, ad auction selection bias and ever-changing ad inventory have shaped Snapchat machine learning model evolution for ads ranking. We share key learnings from training, A/B testing, debugging and deploying hundreds of large scale deep learning models.
In e-commerce product content, especially product images have a significant influence on customer journey from product discovery to evaluation and final purchase decision. With the recent advances of AI powered by GPUs, Walmart has invested in infrastructure and best practices geared toward improving the customer experience for E-commerce. In this talk, we will show applications of computer vision in E-commerce. Specifically, we will discuss product classification, attribute extraction, content filtering, asset optimization, and visual search and recommendation.