AI NEXTCon '19

New York City | Jul. 23-26

Register
Best Price (starting at $329) is available until Jun 26th.
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, ML, DL, Data to solve engineering problems, and software engineering 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.

Topics

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
AutoML
Automatic machine learning and practical use cases
Machine Learning
Machine learning algorithms, how to scale, deploy, maintain, serve machine learning in production

Speakers

Nicolas Koumchatzky
Director of AI Infra
Nvidia
Luming Wang
Head of Data
Millennium Management
Fei Lu
Senior Engineer
Uber
Emily Pitler
Staff Scientist
Google AI
Gene Kogan
Founder
Abraham.ai
Sandhya Prabhakaran
Research Fellow
Sloan Kettering Cancer Center
Brad Miro
Machine Learning Engineer
Google
John Langford
Machine Learning Doctor
Microsoft
Douwe Osinga
Tech lead
Sidewalk Labs
Joseph Sirosh
CTO
Compass
Dale Markowitz
Software Engineer
Google
Esperanza Aguilera
Machine Learning Engineer
Kx
Michal Sofka
Deep Learning Lead
Hyperfine Research
Rohan Agrawal
Sr. ML Engineer
Amazon
Sarah Bird
AI Researcher
Microsoft
Jesse Brizzi
ML Researcher
Curalate
Marcelo Labre
AI Researcher
Advanced Institute for AI
Aaron Roth
Associate Professor
University of Pennsylvania
Madalina Fiterau
AI Researcher
Stanford University
Kexin Xie
Sr. Director of data science
Salesforce
Yuxi Zhang
Lead Data Science
Salesforce
Nicholas Bourdakos
Software Engineer
IBM Watson
Nelson Ray
Data Manager
Opendoor
Yonggang Hu
Distinguished Engineer
IBM Watson
Xi Tu
Manager of Machine Learning
Millennium Management
Jonathan Jin
ML Engineer
Twitter
Ram Seshadri
ML Program Manager
Google
Lei Kang
Data Scientist
Uber
Katherine Chen
Data Scientist
Uber
Reshama Shaikh
Data Scientist
WiMLDS

Schedule

8:00amCheck In
9:00am Keynote
AI Innovation in Fintech
Luming Wang, Head of Data, Millennium Management
9:45am Keynote
AI Infrastructure for Automomous Vehicles - challenges and learnings
Nicolas Koumchatzky, Director of AI, Nvidida
10:30am Coffee break and networking
11:00am Keynote
TBD
Joseph Sirosh, CTO, Compass
12pm Lunch break and networking
1:00pm - 1:50pm
Track 1
Introduction to TensorFlow 2.0
Brad Miro, Google
Track 2
A Bayesian Approach to Model Overlapping Objects
Sandhya Prabhakaran, Memorial Sloan Kettering Cancer Centre
Track 3
Simulation-Based Inference
Nelson Ray, OpenDoor
2:00pm - 2:50pm
Track 1
AI and Data Science behind Uber Eats
Fei Lu, Uber
Track 2
Perdict Performance in Cloud at Scale
Idris Tarwala, Walmart Labs
Track 3
Using a Bayesian Neural Network in the Detection of Exoplanets
Esperanza Aguilera, Kx
2:50pm -3:10pm: Coffee break and networking
3:10pm - 4:00pm
Track 1
BERT, Natural Language Representations and Challenges
Emily Pitler, Google AI
Track 2
Machine Learning for Artist, GAN
Gene Kogan
Track 3
Elastic Distributed Deep Learning Training at large scale
Yonggang Hu, IBM Watson
4:10pm - 5:00pm
Track 1
Real World Reinforcement Learning
John Langford, Microsoft
Track 2
Easy Machine Learning for Language with AutoML
Dale Markowitz, Google
Track 3
Deep MCMC: Training deep neural networks with Markov Chain Monte Carlo
Marcelo Labre, Advanced Institute for Artificial Intelligence (AI2)
5:30pm - 8:00pm: Evening Session (conference plus, workshop/training tickets holders only)
Dinner Reception with Speakers, Invited Guests.
8:00amCheck In
9:00-12:00 Keynote
12pm Lunch break and networking
1:00pm - 1:50pm
Track 1
The Ethical Algorithm
Aaron Roth, University of Pennsylvania
Track 2
Realtime Recommendation at Massive Scale
Kexin Xie, Yuxi Zhang, Salesforce
Track 3
Choosing a Deep Learning Library: There are a lot of them
Jesse Brizzi, Curalate
2:00pm - 2:50pm
Track 1
Real-Time Object Detection with Core ML
Nicholas Bourdakos, IBM Watson
Track 2
How embeddings power Machine Learning
Douwe Osinga, Sidewalk Labs
Track 3
Deep Learning for Image Acquisition and Image Interpretation in Healthcare
Michal Sofka, Hyperfine
3:00pm - 3:50pm
Track 1
Responsible AI Development in Practice
Sarah Bird, Microsoft
Track 2
Faster Time to Insights using Automated Data Visualization and Machine Learning
Ram Seshadri, Google
4:00pm - 4:50pm
Track 1
Hybrid Methods for the Integration of Heterogeneous Multimodal Biomedical Data
Madalina Fiterau, Stanford University
Track 2
Time Prediction for Uber Eats Marketplace
Lei Kang, Katherine Chen, Uber
9am - 12pm
Track 1
Reinforcement Learning in Action
by John Langford , Rafah Hosn, Microsoft
*hands-on workshop, with tech talks, demo, and code labs.
12pm-1:30pmlunch break and networking
1:30pm - 4:30pm
Track 1
Scale Machine Learning and NLP on Social Media Data
by Brad Miro, Google
*hands-on workshop, with tech talks, demo, and code labs.

9am - 12pm
Track 1
Automated Data Visualization and Machine Learning
by Ram Seshadri, Google
*hands-on workshop, with tech talks, demo, and code labs.
12pm-1:30pmlunch break and networking
1:30pm - 4:30pm
Track 1
*speakers and schedules are subject to change.

Why Attend

Speakers

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

Topics

50+ 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 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 grand prizes etc..

Venue

DATE:

July 23-26th, 2019

VENUE:

Marriott Downtown
85 W. Street, New York, NY 10006
Buy Ticket

Best Price (starting at $329) is available until Jun 26th.

Contact

AICamp

Online learning and practicing AI with developers globally

AI NEXTCon

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