Schedule | AI & Machine Learning Software Development Conference | QCon.ai San Francisco

2019 Schedule

Schedule subject to change.

Monday Tuesday Wednesday

Monday April 15, 2019 Workshops

Location	Cyril Magnin I	Cyril Magnin II	Cyril Magnin III	Embarcadero
9:00am	Anomaly Detection Workshop for Developers Sri Krishnamurthy [9:00am - 4:00pm]	Apache Kakfa and KSQL in Action: Let’s Build a Streaming Data Pipeline Tim Berglund [9:00am - 4:00pm]	Building Recommender Systems w/ Apache Spark 2.x Hien Luu [9:00am - 4:00pm]	(Deep) Learn Neural Networks with PyTorch Jendrik Jördening [9:00am - 4:00pm]
12:00pm	Lunch
1:00pm	Workshop (continued)	Workshop (continued)	Workshop (continued)	Workshop (continued)
4:00pm	End of day

Tuesday April 16, 2019 Tracks Day #2
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9:00am	Conference Introduction and Keynote: Best Practices for Maximizing Productivity in Deep Learning Research and Development François Chollet Software Engineer @Google & Creator of Keras Keynote Cyril Magnin Ballroom
10:10am	Break
Track	Deep Learning in Practice	Papers in Production: Modern CS in the Real World	Predictive Architectures in the Real World	Speaker AMA (Ask Me Anything)
Host	Mike Lee Williams	Sid Anand	Gwen Shapira	Wes Reisz
10:40am	Applying Deep Learning To Airbnb Search Malay Haldar Location: Embarcadero	Petastorm: A Light-Weight Approach to Building ML Pipelines Yevgeni Litvin Location: Cyril Magnin III	Instrumentation, Observability & Monitoring of Machine Learning Models Josh Wills Location: Cyril Magnin I + II	Speaker AMA Location: Balboa
11:20am	Break
11:40am	Deep Learning from a SWE's Perspective Sravya Tirukkovalur Location: Embarcadero	Scaling Emerging AI Applications with Ray Peter Schafhalter Location: Cyril Magnin III	Predictive Architectures Presentation Location: Cyril Magnin I + II	Speaker AMA Location: Balboa
12:20pm	Lunch
1:20pm	How to Make Great Personalization Private Erica Greene Location: Embarcadero	Scaling Deep Learning Prabhat Location: Cyril Magnin III	Massive Scale Anomaly Detection Framework Guy Gerson, Uri Silberstein Location: Cyril Magnin I + II	Speaker AMA Location: Balboa
2:00pm	Break
2:20pm	Deep Learning in Practice panel Location: Embarcadero	FAIR : Advances in Speech at Facebook Vitaliy Liptchinsky Location: Cyril Magnin III	People You May Know: Fast Recommendations Over Massive Data Sumit Rangwala, Felix GV Location: Cyril Magnin I + II	Speaker AMA Location: Balboa
3:00pm	Break
3:20pm	Deep Learning Presentation Location: Embarcadero	Modern CS in the Real World Panel Discussion Location: Cyril Magnin III	Michelangelo: A Multi-Tenant Feature Engineering Platform at Uber Amit Nene, Eric Chen Location: Cyril Magnin I + II	Speaker AMA Location: Balboa
4:00pm	Break
4:20pm	Deep Learning presentation Location: Embarcadero	Building Data Products for Social Good Andreas Gros, Shankar Iyer Location: Cyril Magnin III	Predictive Architectures in Practice Panel Location: Cyril Magnin I + II	Speaker AMA Location: Balboa
5:00pm	Break
5:30pm	Evening Keynote: The Future of Transportation Anita Sengupta Aerospace Engineer, Chief Product Officer @AirspaceXP, Prof @USC, Pilot, ex @NASA Rocket Scientist Keynote Cyril Magnin Ballroom

Wednesday April 17, 2019 Tracks Day #3
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Track	Groking Timeseries & Sequential Data	AI Meets the Physical World	Solving Software Engineering Problems with Machine Learning	Speaker AMA (Ask Me Anything)
Host	Jendrik Jördening	Roland Meertens	Wes Reisz	Wes Reisz
9:00am	Uber Marketplace: Spatio-Temporal Data Chintan Turakhia Location: Cyril Magnin I + II	From Robot Simulation to the Real-World Louise Poubel Location: Embarcadero	Developing a Machine Learning MVP @ThirdLove Megan Cartwright Location: Cyril Magnin III	Speaker AMA Location: Balboa
9:40am	Break
10:00am	Prophet Sean Taylor Location: Cyril Magnin I + II	Deep Learning on Microcontrollers Pete Warden Location: Embarcadero	Document Digitization: Rethinking OCR with Machine Learning Nischal Harohalli Padmanabha Location: Cyril Magnin III	Speaker AMA Location: Balboa
10:40am	Break
11:00am	Groking Timeseries & Sequential Data Presentation Joel Grus Location: Cyril Magnin I + II	10 Challenges for Real World Robotics Douglas Fulop Location: Embarcadero	Machine Learning Presentation Location: Cyril Magnin III	Speaker AMA Location: Balboa
11:40am	Break
12:00pm	Deep Learning with Audio Signal: Prepare, Process, Design, Expect Keunwoo Choi Location: Cyril Magnin I + II	AI Meets the Physical World Panel Location: Embarcadero	Machine Learning Presentation Location: Cyril Magnin III	Speaker AMA Location: Balboa
12:40pm	Lunch
1:40pm	Groking Timeseries & Sequential Data Presentation Location: Cyril Magnin I + II	Augmented Reality Diana Hu Location: Embarcadero	Solving Problems with Machine Learning Panel Location: Cyril Magnin III	Speaker AMA Location: Balboa
2:20pm	Break
2:40pm	Groking Timeseries & Sequential Data Panel Location: Cyril Magnin I + II	AI Meets the Physical World Presentation Location: Embarcadero	Machine Learning Presentation Location: Cyril Magnin III	Speaker AMA Location: Balboa
3:20pm	Break
3:50pm	Conference closing keynote and final thoughts: Privacy: The Last Stand for Fair Algorithms Katharine Jarmul Co-Founder of KIProtect Keynote Cyril Magnin Ballroom

Last updated: 16/02/2019