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

Previous Year Schedule

Monday April 15, 2019 Workshops

Location	Cyril Magnin I	Cyril Magnin II	Cyril Magnin III	Hearst
9:00am	Anomaly Detection Workshop for Developers Sri Krishnamurthy - QuantUniversity [9:00am - 4:00pm]	[SOLD OUT] (Deep) Learn Neural Networks with PyTorch Jendrik Jördening - Nooxit [9:00am - 4:00pm]	Building Recommender Systems w/ Apache Spark 2.x Hien Luu - LinkedIn [9:00am - 4:00pm]	Apache Kafka and KSQL in Action: Let’s Build a Streaming Data Pipeline Tim Berglund - Confluent [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

9:00am	Conference Introduction and Keynote: Modern NLP for Pre-Modern Practitioners Joel Grus Senior Research Engineer @allen_ai - Cyril Magnin Ballroom Slides Watch video with transcript
10:10am	Break
Track	Predictive Architectures in the Real World	Deep Learning in Practice	Papers in Production: Modern CS in the Real World
Host	Gwen Shapira - Confluent	Mike Lee Williams - Cloudera Fast Forward Labs	Sid Anand - PayPal
10:40am	People You May Know: Fast Recommendations Over Massive Data Sumit Rangwala - LinkedIn, Felix GV - LinkedIn Room: Cyril Magnin I Slides Watch video with transcript	Applying Deep Learning To Airbnb Search Malay Haldar - Airbnb Room: Cyril Magnin II Slides Watch video with transcript	Petastorm: A Light-Weight Approach to Building ML Pipelines @Uber Yevgeni Litvin - Uber Room: Cyril Magnin III Slides Watch video with transcript
11:20am	Break
11:40am	Massive Scale Anomaly Detection Framework Guy Gerson - PayPal Room: Cyril Magnin I Slides Watch video with transcript	Reinforcement Learning: Not Just for Robots and Games Jibin Liu - Amazon Room: Cyril Magnin II Slides Watch video with transcript	wav2letter++: Facebook's Fast Open-Source Speech Recognition System Vitaliy Liptchinsky - Facebook Room: Cyril Magnin III Slides Watch video with transcript
12:20pm	Lunch
1:20pm	Instrumentation, Observability & Monitoring of Machine Learning Models Josh Wills - Slack Room: Cyril Magnin I Slides Watch video with transcript	Machine Learning Engineering - A New Yet Not So New Paradigm Sravya Tirukkovalur - Adobe Room: Cyril Magnin II Slides Watch video with transcript	Scaling Emerging AI Applications with Ray Peter Schafhalter - UC Berkeley RISELab Room: Cyril Magnin III Slides Watch video with transcript
2:00pm	Break
2:20pm	Michelangelo Palette: A Feature Engineering Platform at Uber Amit Nene - Uber, Eric Chen - Uber Room: Cyril Magnin I Slides Watch video with transcript	Putting Fairness Principles Into Practice Alex Beutel - Google Room: Cyril Magnin II	Scaling Deep Learning to Petaflops and Beyond! Prabhat - NERSC Room: Cyril Magnin III Slides Watch video with transcript
3:00pm	Break
3:20pm	The Evolution of Spotify Home Architecture Emily Samuels - Spotify, Anil Muppalla - Spotify Room: Cyril Magnin I Slides Watch video with transcript	Debuggable Deep Learning Mantas Matelis - Cardiogram, Avesh Singh - Cardiogram Room: Cyril Magnin II Slides Watch video with transcript	Papers in Production Lightning Talks Gwen Shapira - Confluent, Randy Shoup - WeWork, Roland Meertens - Autonomous Intelligent Driving Room: Cyril Magnin III Watch video with transcript
4:00pm	Break
4:20pm	Panel: Predictive Architectures in Practice Sumit Rangwala - LinkedIn, Josh Wills - Slack, Eric Chen - Uber, Emily Samuels - Spotify, Anil Muppalla - Spotify Room: Cyril Magnin I Watch video with transcript	Federated Learning: Rewards & Challenges of Distributed Private ML Eric Tramel - Owkin Room: Cyril Magnin II Slides Watch video with transcript	Building Data Products for Social Good @Facebook Andreas Gros - Facebook, Shankar Iyer - Facebook Room: Cyril Magnin III Slides
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 - Cyril Magnin Ballroom Watch video with transcript

Wednesday April 17, 2019 Tracks Day #3

Track	Sequential Data: Natural Language, Time Series, and Sound	AI Meets the Physical World	Solving Software Engineering Problems with Machine Learning
Host	Jendrik Jördening - Nooxit	Roland Meertens - Autonomous Intelligent Driving	Wes Reisz - QCon Events
9:00am	Practical NLP for the Real World Emmanuel Ameisen - Insight Data Science Room: Cyril Magnin I Slides Watch video with transcript	Deep Learning on Microcontrollers Pete Warden - Google Room: Cyril Magnin II Slides Watch video with transcript	Policing the Capital Markets with ML Cliff Click - Cratus Technologies Room: Cyril Magnin III Watch video with transcript
9:40am	Break
10:00am	Forecasting with Prophet Sean Taylor - Facebook Room: Cyril Magnin I Slides	From Robot Simulation to the Real-World Louise Poubel - Open Robotics Room: Cyril Magnin II Slides Watch video with transcript	Document Digitization: Rethinking OCR with Machine Learning Nischal Harohalli Padmanabha - omni:us Room: Cyril Magnin III Slides Watch video with transcript
10:40am	Break
11:00am	Uber's Spatio-Temporal Data Chintan Turakhia - Uber Room: Cyril Magnin I	The Road to Artificial Intelligence: An Ethical Minefield Lloyd Danzig - ICED(AI) Room: Cyril Magnin II Slides Watch video with transcript	Improving Developer Productivity with Visual Studio Intellisense Allison Buchholtz-Au - Microsoft, Shengyu Fu - Microsoft Room: Cyril Magnin III Slides Watch video with transcript
11:40am	Break
12:00pm	On a Deep Journey Towards Five Nines Aashish Sheshadri - PayPal Room: Cyril Magnin I Slides Watch video with transcript	DeepRacer and DeepLens, Machine Learning for Fun! (and Profit?) Jeremy Edberg - MinOps Room: Cyril Magnin II Watch video with transcript	Ludwig: A Code-Free Deep Learning Toolbox Piero Molino - Uber Room: Cyril Magnin III Watch video with transcript
12:40pm	Lunch
1:40pm	Deep Learning with Audio Signals: Prepare, Process, Design, Expect Keunwoo Choi - Spotify Room: Cyril Magnin I Slides Watch video with transcript	Evoking Magic Realism with Augmented Reality Technology Diana Hu - Niantic Inc. Room: Cyril Magnin II Slides	Lessons Developing Conversational AI Interfaces Mitul Tiwari - Passages AI Room: Cyril Magnin III
2:20pm	Break
2:40pm	Panel: Sequential Data Joel Grus - Allen Institute for Artificial Intelligence, Keunwoo Choi - Spotify, Emmanuel Ameisen - Insight Data Science, Sean Taylor - Facebook Room: Cyril Magnin I	Advanced Topics in Autonomous Driving using Deep Learning Nasim Souly - Volkswagen Group of America- Electronics Research Lab Room: Cyril Magnin II Slides	Panel: First Steps with Machine Learning Nischal Harohalli Padmanabha - omni:us, Shengyu Fu - Microsoft, Soups Ranjan - Revolut, Cliff Click - Cratus Technologies Room: Cyril Magnin III
3:20pm	Break
3:50pm	Evening Keynote: Privacy: The Last Stand for Fair Algorithms Katharine Jarmul Co-Founder of KIProtect - Cyril Magnin Ballroom Slides Watch video with transcript

Last updated: 18/07/2019