January 26 - 28, 2020 | Hyatt Regency, Phoenix, AZ

Tian Su

Head of AI & ML 7-Eleven
Tian Su is Sr Manager Data scientist currently leading the end to end model development and deployment of Personalization Model, CRM Model and Object Recognition Model at 7-Eleven. Before 7-Eleven, she worked at Bridgewater Associates as an Investment Engineer and Capital One Financial Corporation as a Senior Data Scientist. She specializes in Machine Learning and Artificial Intelligence in a variety of business areas such as risk modeling, digital marketing, time series prediction and computer vision. Her experience extends across the full spectrum of AI solution cycle from data mining, model building to productionisation. Besides work at 7-Eleven, she is the lead instructor of Data Science education at Joblogic-X and career counselor of data related job families. Tian received her bachelor degree from Peking University (China), finished master degree at Heidelberg University (Germany) and obtained Ph.D. from Yale University.

Day 1: Sunday, January 26th

Sunday, January 26th, 2020

2:30 PM The Digital Marketing Revolution: Enhancing Personalization & Appealing to Gen Z through Advanced Recommendation Engines & Cognitive Search

The application of advanced analytics & AI into digital marketing stands to have a profound impact on the way that brands interact with consumers. As the buying power of the digitally-native Generation Z continues grow, enterprises who have developed an effective strategy to leverage technology such as AI-powered recommendation engines and cognitive search will emerge with a distinct competitive advantage. Tian Su, Head of AI & ML at 7-Eleven, will give us insight into how she has been able to supercharge the enterprises’ digital marketing efforts through data-driven personalization.    
Participate in this session to gain an understanding of: 
·How the core algorithms evolved from association rule mining to collaborate filtering  to matrix factorization and, ultimately, deep learning 
·Variables that must be taking into account when designing an AI-augmented digital marketing tool or CRM 
·Assessing the trade-offs related to determining which algorithms best fits your business purpose taking into account business impact, modelling flexibility, prediction accuracy and production complexity 

Check out the incredible speaker line-up to see who will be joining Tian.

Download The Latest Agenda