AI NEXTCon 2020

Seattle | Feb. 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
Ming Yong
Product Manager
Google Research
Joseph Sirosh
CTO
Compass
Peter Krmpotic
Director Product
Salesforce
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
Luna Dong
Principal Scientist
Amazon
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

Schedule


8:00amCheck In
9:00am Keynote
Simulations – The New Reality of AI
Danny Lange, VP of AI, Unity
9:40am Keynote
AI Innovation at Microsoft
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
TBD
12:00pm Lunch break and networking
1:00pm - 1:50pm
Track 1
Developing and Troubleshooting Neural Networks
Cibele Montez Halasz, Apple
Track 2
Open-Ended Reinforcement Learning
Rui Wang, Uber AI
Track 3
Machine Learning Platform at Twitter
Redwan Rahman, Twitter
Track 4
Continuous Delivery and Automation Pipelines in Machine Learning
Valliappa Lakshmanan(Lak), Google
2:00pm - 2:50pm
Track 1
Conversation Intelligence: Deep Learning for Signal Detection in Business Calls
William Li, Marchex
Track 2
Scalable Automatic Machine Learning
Michelle Tanco, H2O.ai
Track 3
How to Train Accurate Models with Less Data
Bindu Reddy, RealityEngines.ai
Track 4
Getting Data Ready for Data Science with Delta Lake
Denny Lee, Databricks
3:10pm - 4:00pm
Track 1
Practical Reinforcement Learning via the Azure Personalizer Service
Paul Mineiro, Microsoft
Track 2
Multivariate content optimization: Real-time recommendation and business insights
Yi Liu, Amazon
Track 3
Taking Machine Learning Research to Production: Solving Real Problems
Anusha Ramesh, Google AI
Track 4
Modern Speech Recognition: Hybrid vs. End-to-End
Duc Le, Facebook AI
4:10pm - 5:00pm
Track 1
Bridging Functions and Functionality -- how to empower data scientists to do more, by doing less
Elijah ben Izzy, Stitch Fix
Track 2
CPU and Accel architectures and their performance at scale for ML and DL
Meena Arunachalam, Intel
5:30pm - 8:00pm: Evening Session
Dinner ReceptionSpeakers, Invited Guests, and ConferencePlus ticket/Workshop ticket holders only.
Community EventA Night with AI

8:00amCheck In
9:00am~12pm
Keynotes
12:00pm Lunch break and networking
1:00pm - 1:50pm
Track 1
DeepFake Detection Challenge
Brian Dolhansky, Facebook
Track 1
Prototype to Production: How to Scale your Deep Learning Model
Swetha Mandava, Nvidia
Track 1
Building real time cross platform video audio ML pipelines
Ming Yong, Google Research
2:00pm - 2:50pm
Track 1
Introduction to Kubeflow and Pipelines
Amy Unruh, Google
Track 2
Choice Based Conjoint Analysis in Optimizing Products Experience
Milind Kopikare, Qualtrics
Track 3
ML CI/CD: running abstract Machine Learning frameworks inside GitHub Actions
Jon Peck, Github
3:00pm - 3:50pm
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

9am - 12pm
Track 1
Deep Learning for NLP
12pm-1:00pmlunch break and networking
1:00pm - 4:00pm
Track 1
tbd
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

To be updated, check our sponsors in past events, Click
Interested in participating, check our sponsorship prospectus: Click

Venue

DATE:

Feb. 12~15, 2020

VENUE:

Meydenbauer Convention Center (Bellevue, WA)
Tickets are on sale until Jan 24th.

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