AI NEXTCon 2020

Seattle | February 12~16

Registration  Video
AI NEXTCon Developers Conference is AI developers-driven event hosted around the world (Seattle, New York, San Francisco, London, Beijing), 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. Now it's 10th edition, 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.

Topics

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

Speakers

Danny Lange
VP of AI
Unity Technologies
Cibele Halasz
Sr. ML Engineer
Apple
Bindu Reddy
CEO
RealityEngines.ai
Rui Wang
AI Researcher
Uber AI
Valliappa Lakshmanan
Tech Lead
Google
Meena Arunachalam
Principal Engineer
Intel
Amy Unruh
Software Engineer
Google
Joseph Sirosh
CTO
Compass
Ted Way
Sr Program Manager
Microsoft
Swetha Mandava
Deep Learning Engineer
NVIDIA
Paul Mineiro
Principal Engineer
Microsoft
Brian Dolhansky
Research Scientist
Facebook
Yi Liu
Sr. Applied Scientist
Amazon
Redwan Rahman
ML Engineer
Twitter
Andrew Ferlitsch
Engineer
Google
Zhen Li
Sr Data Scientist
Microsoft
Milind Kopikare
Head of Product
Qualtrics
Anusha Ramesh
Product Manager
Google AI
Erez Barak
Senior Director
Microsoft AI
Duc Le
Research Scientist
Facebook AI
Elijah ben Izzy
ML Engineer
Stitch Fix
Denny Lee
Engineer
Databricks
William Li
VP of Engineering
Marchex
Michelle Tanco
Data Scientist
H2O.ai
Hadon Nash
Sr Engineer
Google Research
Chong Wang
Head of AML Research
ByteDance Seattle
Jon Peck
Engineer
GitHub
Margaret Maynard-Reid
ML Engineer
ML GDE
Axel Magnuson
Engineer
Google
Aalok Shanbhag
Data Scientist
Fiddler Labs
Soma Bhattacharya
Sr. Mgr. Data Science
Expedia Group
Yuan Shen
CEO/Co-founder
Oneclick.ai

Schedule


Venue: Meydenbauer Convention Center
8:00amCheck In
9:00am Keynote
Simulations – The New Reality of AI
Danny Lange, VP of AI, Unity
9:40am Keynote
Patterns & Practices – Lessons Learned from Azure ML Customers
Erez Barak, Sr. Director, Microsoft AI
10:20am Coffee break and networking
10:45am Keynote
AI to Empower Agent Intelligence
Joseph Sirosh, CTO, Compass
11:25am Keynote
Autonomous ML: Plug and Play AI
Bindu Reddy, CEO, RealityEngines.ai
12:00pm Lunch Break and Networking (407&408)
1:00pm - 1:50pm
406
Developing and Troubleshooting Neural Networks
Cibele Montez Halasz, Apple
404
Open-Ended Reinforcement Learning
Rui Wang, Uber AI
403
Machine Learning Platform at Twitter
Redwan Rahman, Twitter
402
Multivariate Content Optimization: Real-time Recommendation and Business Insights
Yi Liu, Amazon
2:00pm - 2:50pm
406
Conversation Intelligence: Deep Learning for Signal Detection in Business Calls
William Li, Marchex
404
Getting Data Ready for Data Science with Delta Lake
Denny Lee, Databricks
403
Monitoring of Machine Learning Models
Aalok Shanbhag, Fiddler Labs
402
Scalable Automatic Machine Learning
Michelle Tanco, H2O.ai
2:50pm Coffee Break and Networking
3:10pm - 4:00pm
406
Practical Reinforcement Learning via the Azure Personalizer Service
Paul Mineiro, Microsoft
404
Taking Machine Learning Research to Production: Solving Real Problems
Anusha Ramesh, Google AI
403
Modern Speech Recognition: Hybrid vs. End-to-End
Duc Le, Facebook AI
4:10pm - 5:00pm
406
Bridging Functions and Functionality -- How To Empower Data Scientists To Do More, By Doing Less
Elijah ben Izzy, Stitch Fix
404
CPU and Accel Architectures and Their Performance at Scale for ML and DL
Meena Arunachalam, Intel
403
On-device ML with TensorFlow Lite
Margaret Maynard-Reid, ML Google Developer Experts
5:00pm - 7:30pm: Evening Session
ReceptionSpeakers, Invited Guests, and Conferenceplus/Workshop/Training ticket holders only.

Venue: Meydenbauer Convention Center
9:00amCheck In
9:30am - 10:20am
404
Continuous Delivery and Automation Pipelines in Machine Learning
Valliappa Lakshmanan(Lak), Google
405
Sequential Recommendations with Structured Long-term Dependencies
Chong Wang, ByteDance
406
Accelerating Computer Vision Models with TensorFlow on FPGAs
Ted Way, Microsoft
10:40am - 11:30am
404
Building a Predictive Maintenance System using IoT data
Zhen Li, Microsoft
405
ML CI/CD: Running Abstract Machine Learning Frameworks Inside GitHub Actions
Jon Peck, Github
406
Optimization Algorithms for Improving The Product Experience
Milind Kopikare, Qualtrics
12:00pm Lunch break and networking (407&408)
1:00pm - 1:50pm
404
DeepFake Detection Challenges
Brian Dolhansky, Facebook
405
Prototype to Production: How to Scale your Deep Learning Model
Swetha Mandava, Nvidia
406
Building Real Time Cross Platform Video Audio ML Pipelines
Hadon Nash, Google Research
2:00pm - 2:50pm
404
Introduction to Kubeflow and Pipelines
Amy Unruh, Google
405
Interpretable Machine Learning Models
Soma Bhattacharya, Expedia Group
406
Time Series Forecasting from Statistical Methods to Deep Learning
Yuan Shen, Oneclick.ai

Venue: Hilton Garden Inn Bellevue (10777 NE 10th St)
9am - 12pm
Track 1
Serverless Machine Learning with TensorFlow 2.0 (1)
by Google Team
Lectures, live demo, and hands-on code labs. Workshop Details
12pm-1pmlunch break
1pm - 4pm
Track 1
Serverless Machine Learning with TensorFlow 2.0 (2)
by Google Team
Lectures, live demo, and hands-on code labs. Workshop Details


Venue: Coast Hotel Bellevue (625 116th Ave NE)
9am - 12pm
Track 1
Deep Learning for NLP
by Zhen Li, Microsoft
Lectures, live demo, and hands-on code labs. Workshop Details
12pm-1:00pmlunch break and networking
1:00pm - 2:30pm
Track 1
Deep Learning for NLP (continue)
by Zhen Li, Microsoft
Lectures, live demo, and hands-on code labs. Workshop Details

Venue: Hampton Inn & Suites at Bellevue (11405 NE 2nd Place)
9am - 4pm
Track 1
Deep Learning for Computer Vision
by Andrew Ferlitsch, Google
*This 2-day immersive instructor-led training will teach everything you need to know to become a software engineer in deep learning and computer vision. Course Syllabus
*speakers and schedules are subject to change.

Why Attend

Speakers

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

Topics

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.

Networking

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.

Sponsors

Interested in participating, request prospectus: Click

Venue

DATE:

February 12~16, 2020

VENUE:

Main Conference(Feb. 12~13): Meydenbauer Convention Center
Workshops(Feb. 14): Hilton Garden Inn Bellevue
Training(Feb. 15~16): Hampton Inn&Suites Bellevue

Contact

AICamp

Global online AI learning platform for developers to learn and practice AI
Monthly AI tech talks meetup in Seattle, and Weekly Online AI tech talks/workshops/courses