AI NEXTCon '19

San Francisco | Oct. 8-11

Conference Recap  Video
AI NEXTCon Developer Conference is AI developers-driven event specially geared to engineers, developers, data scientists to share, learn, and practice AI technology and how apply AI, ML, DL, Data to solve engineering problems, and machine learning production lifecycle. The conference features a blend of inspirational keynotes, deep dive tech talks, hands-on workshops, tools/framework live demo, networking opportunity with like minded developers. Monthly AI tech talks meetup in San Francisco/Bay area, and Weekly Online AI tech talks/workshops/courses


Computer Vision
Apply deep learning to understand images and videos, detect objects
The breakthrough on speech recognition, voice input control, NLP
Deep Learning
Deep learning algorithms, and frameworks
Machine Learning
Machine learning algorithms, models, and frameworks
Automatic machine learning and practical use cases
Machine Learning in Production
ML infra and lifecycle, Best practices in scaling, deploying, maintaining ML


Michael Jordan
Distinguished Professor
UC Berkeley
Danny Lange
VP of AI
Unity Technologies
Cibele Halasz
Sr. ML Engineer
Lukasz Kaiser
Sr. Scientist
Google Brain
Ted Way
Sr. Program Manager
Willy Lulciuc
Software Engineer
Erin Ledell
Chief Scientist
Shawn Shah
Staff Engineer
Andrei Polzounov
Sr. Scientist
Blue River Technology
Anitha Kannan
Founding Member
Yonggang Hu
Distinguished Engineer
IBM Watson
Peter Krmpotic
Director Product
Sanjian Chen
Staff Engineer
Alibaba Group
Jian Chang
Staff Engineer
Alibaba Group
Sindhu Ghanta
ML Rsearcher
Matt Feiszli
Research Scientist
Robert Nishihara
UC Berkeley
Bindu Reddy
Suqiang Song
AI Director
Jay Baxter
Sr. ML Engineer
Rui Wang
AI Researcher
Uber AI
Daniel Hill
Sr. Scientist
Luyuan Fang
Head of AI labs, VP
Expedia Group
Ville Tuulos
Erez Barak
Senior Director
Microsoft AI
Chris Suchanek
Pranjal Daga
ML Scientist
Cisco Innovation Labs
Nanda Vijaydev
Lead Data Scientist
Sean Harris
Engineering Manager
Pengtao Xie
Director Engineering
Paul Mineiro
Principal Engineer
Tech Lead
Manasi Vartak
Nisha Talagala
Pyxeda AI
Chris Fregly
Jason Arbon
Steve Griset
Chirag Mahapatra
Engineering Manager
Robert Crowe
Data Scientist
Yunlu Li
Software Engineer
Sandhya Ramu
Director of Engineering


Venue: Santa Clara Convention Center (2nd floor theater)
8:00amCheck 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,
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 ReceptionSpeakers, Invited Guests, and ConferencePlus ticket/Workshop ticket holders only.
Community EventA Night with AI & Data: In-stream data process, data Orchestration & Data Lake (Free to attend, open to public)

Venue: Santa Clara Convention Center (2nd floor)
8:30amCheck 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,
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
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)
Venue: ZGC Innovation Center (4500 Great America Pkway, Santa Clara)
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-1:00pmlunch 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

Venue: ZGC Innovation Center (4500 Great America Pkway, Santa Clara)
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-1pmlunch 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
*speakers and schedules are subject to change.

Why Attend


50+ tech lead speakers from Engineering Teams at Microsoft, Google, Amazon, Facebook, Uber, Linkedin, Pinterest, Nvidia, Twitter, and more.


60+ deep dive tech topics and practicial experiences in machine learning, deep learning, computer vision, speech reconginition, NLP, data science and analytics. specially geared to tech engineers who want to grasp AI tech applied to their daily project.


Connect with 500+ tech engineers, developers, data scientists; learn from peers, small-group discussions, office-hour, and lunch with speakers, happy hours.

Continious Learning

Continue to learn and practice AI post conference, join our free online AI learning group with 400+ tech speakers, 85,000+ tech engineers. Learn more.

AI Job

The speakers and sponsors teams are hiring tech engineers, developers, data scientitst, machine learning engineers and algorithm engineers. Come to talk and connect to the hiring manager and tech lead of the teams.




Oct. 8-11th, 2019


Main Conference (Tue&Wed): Santa Clara Convention Center
Workshop (Thu & Fri): ZGC Innovation Center



Global online AI learning platform for developers to learn and practice AI


  • AI NEXTCon Seattle, Jan. 23-26
  • AI NEXTCon New York, Jul. 23-26
  • AI NEXTCon Beijing. Dec. 12-15