AI NEXTCon '19

SEATTLE | JAN. 23-26

register now
Promotion tickets (30% off) by Dec.14th.
For developers, by developers, AI NEXTCon is one of largest AI community-driven technology event specially geared to tech engineers, developers, data scientists to share, learn, and practice AI technology and how applying AI to solve engineering problems. 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.


Computer Vision
Apply deep learning to understand images and videos
Speech Recognition
The breakthrough on speech recognition, voice input control, NLP
Deep Learning
Deep learning algorithms on CNN, RNN, RL and frameworks
Data Science/Analytics
Information retrieval, personal recommendation, training models
The breakthrough on autonomous driving, how apply deep learning
Machine Learning
Machine learning algorithms, how to scale machine learning.


Michael Jordan
Distinguished Professor
UC Berkeley
Deepak Agarwal
VP of AI
Rajat Monga
Engineering Director
Google Brain
Li Deng
Chief AI Officer
Luna Dong
Principal Scientist
Peter Vajda
Research Manager
Jonathan Huang
Research Scientist
Google Brain
Jennifer Prendki
VP of Machine Learning
Figure Eight
Chester Chen
Head of Data Science
Suqiang Song
Director of AI Platform
Yifeng Lu
Staff Engineer
Google Brain
Bhairav Mehta
Sr. Data Scientist
Wee Hyong Tok
Principal Data Scientist
Martin Gorner
Software Engineer
Amy Unruh
Software Engineer
Anusua Trivedi
Sr. Data Scientist
Wilson Pang
Jeremy Hermann
Head of ML Platform
Yuan Shen
Andrew Ferlitsch
Google AI
Chris Rawles
Machine Learning Engineer


8:00amCheck In
9am Keynote UPDATING
10am Keynote
From Modeling Speech and Language to Modeling Financial Markets
Li Deng, Chief AI Officer, Citadel
11am Keynote
Ray: A Distributed Framework for Emerging AI Applications
Michael Jordan, UC Berkeley
12:00pm Lunch break and networking
1pm - 2pm
Track 1
Efficient Deep Learning for Computer Vision
Peter Vajda, Facebook
Track 2
A new AI approach to help researchers and real business with AutoML
Yifeng Lu, Google Brain
Track 4
Evolution of GoPro Data Analytics Platform
Chester Chen, GoPro
2pm - 3pm
Track 1
Object Detection at Google
Jonathan Huang, Google Brain
Track 3
Active Machine Learning in Practice
Jennifer Prendki, Figure Eight
Track 4
Architecturing a Modern Data Pipeline Framework
Suqiang Song, MasterCard
3pm - 4pm
Track 1
Building a Broad Knowledge Graph for Products
Luna Dong, Amazon
Track 3
Cloud AutoML: Customize machine learning models with your own data
Andrew Ferlitsch, Google AI
Track 4
Architecturing a Modern Data Pipeline Framework
Suqiang Song, MasterCard
4pm - 5pm
5:30pm - 8:00pm: Evening Session (conference plus, workshop/training tickets holders only)
AI Night/Dinner Reception with Speakers, Invited Guests.
8:30amCheck In
9am Keynote
Build Professional Networks with AI
Deepak Agarwal, VP of AI, LinkedIn
10am Keynote
Deep Learning with Tensorflow
Rajat Monga, Google Brain
11am Keynote UPDATING
12:00pm Lunch break and networking
1pm - 2pm: 4 parallel tech talks
2pm - 3pm: 4 parallel tech talks
3pm - 4pm: 3 parallel tech talks
4pm - 5pm: 3 parallel tech talks
9am - 12pm
Track 1
Serverless Machine Learning with TensorFlow (1)
by Chris Rawles, Google
*7 modules with tech talks, demo, and code labs. Course Outline
Track 2
Accelerating AI through Automated Machine Learning
by Sujatha Sagiraju, Microsoft
*hands-on workshop, with tech talks, demo, and code labs. Course Outline
12pm-1:30pmlunch break and networking
1:30pm - 4:30pm
Track 1
Serverless Machine Learning with TensorFlow (2)
by Chris Rawles, Google
*7 modules with tech talks, demo, and code labs. Course Outline

Deep learning with TPU
by Martin Gorner, Google
* update soon
Manage Machine Learning Pipelines
by Amy Unruh, Google
*machine learning pipelines, kubeflow + kubernetes, to be update with details
Deep learning in Action
by Bhairav Mehta, Sr. Data Scientist, Apple
* 2 days/12hours instructor-led training, with 10 modules, 10 code labs, Course Outline

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, 70,000+ tech engineers. Learn more.

AI Job Fair

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.

Learn and Play

While immersed with 4 days extensive learning, you will also have opportunity in exploring cool AI products, enjoy the coffee/snacks, lunch. also lucky draw with prize of free air tickets, Google VR, Amazon Alexa, etc..



January 23-26th, 2019


Meydenbauer Convention Center
11100 NE 6th St, Bellevue, WA 98004
Buy Ticket

30% off tickets sale ends on Dec. 14th