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Elizabeth Storm

Travelers Insurance
Director - PI R&D
Monday, December 3
 

9:00am CST

Kickoff Atrium

9:30am CST

Recommender Systems: Algorithmic Fundamentals (1) Omnitheater (Access via Floor 5 or 6)Joseph Konstan, PhD

10:30am CST

Marketing Personalization using Machine Learning: Harnessing Consumer Engagement for Better outcomes (2) Auditorium (Floor 3)Devi Kyanam

11:15am CST

Predicting Sales during Hurricanes for a Home Improvement Retailer via TensorFlow (6) Xenon Room (Floor 6)Matt Yates Predictive Modeling Cooking Show (2) Auditorium (Floor 3)Nathan Hubbell • Laura Johnson • Priyanka Shah • Rick Sutherland

12:00pm CST

She Talks Data Eat & Greet (4) Argon Room (Floor 6)Laura Madsen • Serena Roberts

1:00pm CST

Getting to the Heart of the Customer (1) Omnitheater (Access via Floor 5 or 6)Gary Angel

2:00pm CST

Understanding Public Transit Rider Satisfaction using Clustering and Bayesian Regression (2) Auditorium (Floor 3)Kim Eng Ky • Eric Lind

2:45pm CST

Anomaly Detection from A to Z (4) Argon Room (Floor 6)John Hogue

3:45pm CST

AI Is Hard. Making it work for you: lessons from the trenches (4) Argon Room (Floor 6)Sean Otto, Phd Leveraging Knowledge Graphs for Better Voice Experiences (3) Discovery Hall (Floor 4)Jay Myers Mission Impossible: Catch Credit Card Thieves (6) Xenon Room (Floor 6)Adam Elliott • Somang Han Sniff Out, Then Snuff Regression to the Mean (2) Auditorium (Floor 3)Jason McNellis