Loading…
MinneFRAMA has ended
BH

Brian Hanninen

EC LLC
Consultant
Survey design and analysis
Statistical methods
Public policy
Monday, December 3
 

8:00am CST

Registration, networking, & coffee

9:00am CST

Kickoff Atrium

9:30am CST

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

10:15am CST

Break

10:30am CST

Future of Sports Retail Powered by Machine Learning (5) Elements Café (Floor 6)John Peters

11:00am CST

Break

11:15am CST

How Data Analytics Opportunities Can Co-Exist With US and EU Privacy Regulation (5) Elements Café (Floor 6)Melissa Krasnow • Erich Axmacher • Brad Hammer • Timothy Nagle 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

Lunch Atrium

1:00pm CST

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

1:45pm CST

Break

2:00pm CST

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

2:30pm CST

Break

2:45pm CST

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

3:30pm CST

Break

3:45pm CST

Leveraging Knowledge Graphs for Better Voice Experiences (3) Discovery Hall (Floor 4)Jay Myers Transforming Demand Gen Data into Marketing Insights & Strategy (1) Omnitheater (Access via Floor 5 or 6)Lee Klammer Sniff Out, Then Snuff Regression to the Mean (2) Auditorium (Floor 3)Jason McNellis