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KY

Kristin Youngblom

Carlson School of Management
M.S. in Business Analytics candidate
Monday, December 3
 

9:30am CST

Recommender Systems: Algorithmic Fundamentals (1) Omnitheater (Access via Floor 5 or 6)Joseph Konstan, PhD The Road Ahead: Artificial Intelligence, Machine Learning, Data Analytics, and Visualization (3) Discovery Hall (Floor 4)Bonnie Holub

10:30am CST

Analytics & RPA (3) Discovery Hall (Floor 4)Chet Chambers

11:15am CST

Predictive Modeling Cooking Show (2) Auditorium (Floor 3)Nathan Hubbell • Laura Johnson • Priyanka Shah • Rick Sutherland Visual Storytelling: Putting Data into Context (1) Omnitheater (Access via Floor 5 or 6)Arlene Birt

12:00pm CST

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

1:00pm CST

Building Better Budgets (6) Xenon Room (Floor 6)Max Humber

2:00pm CST

Building Marketing Analytics Capabilities, Brick by Brick (1) Omnitheater (Access via Floor 5 or 6)Jason Rogowski • Ryan Stellmaker Understanding Public Transit Rider Satisfaction using Clustering and Bayesian Regression (2) Auditorium (Floor 3)Kim Eng Ky • Eric Lind

2:45pm CST

Don’t Let Your Data Strategy Crash from a Sugar High (2) Auditorium (Floor 3)Brian Cariveau Anomaly Detection from A to Z (4) Argon Room (Floor 6)John Hogue

3:45pm CST

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