Agenda

Agenda is subject to change as the event is finalized.

8:00 – 9:00	Registration and Breakfast	Atrium
8:00	Exhibitor Tables Open	Atrium
9:00 – 9:40	Keynote Presentation	Auditorium
Chris D’Agostino | Capital One
9:40 – 9:45	Break	Atrium
9:45 – 10:25	Session 1	Auditorium
Ted Malaska | Blizzard In search of value
10:25 – 10:30	Break	Atrium
10:30 – 11:10	Session 2
Zach Hanif | Capital One A sufficiently cheap lunch: model optimizations for humans Auditorium Richard Garris | Databricks ‘Productionizing’ ML models 100A
11:10 – 11:15	Break	Atrium
11:15 – 11:55	Session 3
Pat Patterson | StreamSets Analytic insights In retail Using Apache Spark & StreamSets Auditorium
11:55 – 2:00	Lunchtime activities
Lunch is served Atrium Hands-on workshops: Registered participants only! Beginner Class by Databricks Advanced Class by MetiStream 3rd floor | 12:00 – 2:00 Bring your lunch! Patrick Hall | H2O Machine learning with gradient boosting machines (GBM) Auditorium | 1:20 – 2:00
2:00 – 2:15	Break	Atrium
2:15 – 2:55	Session 4	Auditorium
Craig Lovell | ArctosAI Natural-language processing Auditorium Charmee Patel | Syntasa Zero to production-ready in days, not months 100A
2:55 – 3:00	Break	Atrium
3:00	Exhibitor Tables Close	Atrium
3:00 – 3:40	Session 5	Auditorium
Silvio Fiorito | Databricks Best practices and patterns with Spark Auditorium
3:40 – 3:45	Break	Atrium
3:45 – 4:30	Closing Activities and Reception	Atrium
Cake cutting Courtesy of MetiStream