Oct. 8th: Main Conference Day 1
Venue: Santa Clara Convention Center (2nd floor theater)

8:00am	Check In
9:00am Keynote	On Blending Machine Learning with Microeconomics Michael Jordan, UC Berkeley
9:40am Keynote	On the Road to Artificial General Intelligence Danny Lange, VP of AI, Unity
10:20am	Coffee break and networking
10:45am Keynote	AI Innovation In Microsoft Erez Barak, Sr. Director, Microsoft AI
11:25am Keynote	Travel in the AI-First World Luyuan Fang, Head of AI labs/VP, Expedia Group
12:00pm	Lunch break and networking
1:00pm - 1:50pm
Track 1	Developing and troubleshooting neural networks Cibele Montez Halasz, Apple
Track 2	Taming the Transformer Lukasz Kaiser, Google Brain
Track 3	Marquez: An Open Source Metadata Service for ML Platforms Willy Lulciuc & Shawn Shah, WeWork
Track 4	Accelerating computer vision models with TensorFlow on FPGAs Ted Way, Microsoft
Track 5	Google AI Training: Machine Learning and Image Processing 1 Sponsored by Google
2:00pm - 2:50pm
Track 1	How Salesforce Einstein Leverages NLP to Deliver Customer Experience at Scale Peter Krmpotic, Salesforce
Track 2	Deep Learning in Precision Agriculture Andrei Polzounov, Blue River Technology
Track 3	Elastic Distributed Deep Learning Training at large scale Yonggang Hu, IBM Watson
Track 4	Scalable enterprise AutoML Erin Ledell, H2O.ai
Track 5	Google AI Training: Machine Learning and Image Processing 2 Sponsored by Google
2:50pm -3:10pm: Coffee break and networking
3:10pm - 4:00pm
Track 1	Unleash Computer Vision at the Edge Steve Griset, alwaysAI
Track 2	Machine Learning for Digital Identity Chirag Mahapatra, Airbnb
Track 3	Building an AI Engine for Time Series Data Analytics Sanjian Chen & Jian Chang, Alibaba Group
Track 4	Deep technical insights for AI engineering platform to deliver automate AI solutions at scale Suqiang Song, Mastercard
Track 5	Google AI Training: Machine Learning and Image Processing 3 Sponsored by Google
4:10pm - 5:00pm
Track 1	AI in Healthcare Anitha Kannan, Curai
Track 2	Impact of ML on Perception for Autonomous Vehicles Sean Harris, Cruise
Track 3	Taking Machine Learning Research to Production: Solving Real Problems Robert Crowe, Google
Track 5	Google AI Training: Machine Learning and Image Processing 4 Sponsored by Google
5:30pm - 8:00pm: Evening Session
Dinner Reception	Speakers, Invited Guests, and ConferencePlus ticket/Workshop ticket holders only.
Community Event	A Night with AI & Data: In-stream data process, data Orchestration & Data Lake (Free to attend, open to public)

Oct. 9th: Main Conference Day 2
Venue: Santa Clara Convention Center (2nd floor)

8:30am	Check In
9:30am - 10:20am
Track 1	Video Understanding at Facebook Matt Feiszli, Facebook
Track 2	Introduction to Reinforcement Learning and Contextual Bandits Paul Mineiro, Microsoft
Track 3	Model-based Candidate Generation for Recommendations at Twitter Jay Baxter, Twitter
10:20am	Coffee break and networking
10:50am - 11:40am
Track 1	Multivariate content optimization: Real-time recommendation and business insights Daniel Hill, Amazon
Track 2	TransmogrifAI: efficient machine learning with Scala, Spark, and friends Chris Suchanek, Salesforce
Track 3	How to Train Accurate Models with Less Data Bindu Reddy, RealityEngines.AI
11:50am	Lunch break and networking
12:45pm - 1:30pm
Track 1	Testing AI and Bias Jason Arbon, test.ai
Track 2	Build and Integrate AI into Applications using the Cloud Nisha Talagala, Sindhu Ghanta, Pyxeda AI
Track 3	Reinforcement learning with open-ended algorithms Rui Wang, Uber AI
1:40pm - 2:25pm
Track 1	More Data Science with Less Engineering: ML Infrastructure at Netflix Ville Tuulos, Netflix
Track 2	Algorithm and System for EHR-based Medical Decision-Making Pengtao Xie, Petuum
Track 3	Tensorflow Lite - AI on the edge for Mobile and IoT Yunlu Li, Google
2:35pm - 3:20pm
Track 1	Model versioning: Why, When and How Manasi Vartak, Verta.AI
Track 2	Deep Learning for Speech Recognition Pranjal Daga, Cisco
Track 3	Building Scalable, Kubernetes-Native ML/AI Pipelines with TFX, KubeFlow, Airflow, and MLflow Chris Fregly, PipelineAI
3:30pm - 4:30pm
All	Women in AI Panel Yunlu Li (Google), Sandhya Ramu (LinkedIn), Nanda Vijaydev (HPE), Manasi Vartak (Verta AI), Luyuan Fang (Expedia) Nisha Talagala (Moderator from Pyxde AI)

Oct. 10th: Hands-on Workshop Day 1

9am - 12pm
Track 1	Real World Reinforcement Learning in Action Tyler Clintworth, Microsoft Team *Hands-on workshop, with lectures, demo, and code labs. *In this workshop you will learn real world reinforcement learning and how applies to content personalization. We will walk you through setting up the service, writing your first application, and optimizing the policy using offline optimization. Workshop Details
12pm-1:00pm	lunch break and networking
1:00pm - 4:00pm
Track 1	AI and Machine Learning at Any Scale with Ray Robert Nishihara, UC Berkeley *hands-on workshop, with lectures, demo, and code labs. Workshop Details

Oct. 11th: Hands-on Workshop Day 2

9am - 12pm
Track 1	Serverless Machine Learning with TensorFlow 2.0 (1) by Google Team *7 modules with lectures, live demo, and hands-on code labs. Course Outline
12pm-1pm	lunch break
1pm - 4pm
Track 1	Serverless Machine Learning with TensorFlow 2.0 (2) by Google Team *7 modules with lectures, live demo, and hands-on code labs. Course Outline