Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
 
Beekman
Add Design thinking for AI to your personal schedule
9:00am Design thinking for AI Chris Butler (Philosophie)
Add Customer-centered AI: A radical strategy to your personal schedule
1:40pm Customer-centered AI: A radical strategy Radhika Dutt (Radical Product), Geordie Kaytes (Fresh Tilled Soil), Nidhi Aggarwal (Radical Product)
Sutton North/Center
Add Bringing AI into the enterprise to your personal schedule
9:00am Bringing AI into the enterprise Kristian Hammond (Northwestern Computer Science)
Sutton South
Add Getting up and running with TensorFlow to your personal schedule
9:00am Getting up and running with TensorFlow Amy Unruh (Google)
Regent Parlor
Add Building reinforcement learning applications with Ray to your personal schedule
1:40pm Building reinforcement learning applications with Ray Robert Nishihara (UC Berkeley), Philipp Moritz (UC Berkeley), Ion Stoica (UC Berkeley)
Nassau East/West
Add word2vec and friends to your personal schedule
9:00am word2vec and friends Bruno Gonçalves (New York University)
Add Ignite to your personal schedule
5:20pm Ignite | Room: Grand Ballroom
12:30pm Lunch sponsored by Intel AI | Room: America's Hall
10:30am Morning Break | Room: Sutton Foyer
3:10pm Afternoon Break | Room: Sutton Foyer
9:00am-12:30pm (3h 30m) AI Business Summit, Impact of AI on Business and Society
Design thinking for AI
Chris Butler (Philosophie)
Purpose, a well-defined problem, and trustworthiness are important factors to any system, especially those that employ AI. Chris Butler leads you through exercises that borrow from the principles of design thinking to help you create more impactful solutions and better team alignment.
1:40pm-5:10pm (3h 30m) AI Business Summit, AI in the Enterprise
Customer-centered AI: A radical strategy
Radhika Dutt (Radical Product), Geordie Kaytes (Fresh Tilled Soil), Nidhi Aggarwal (Radical Product)
AI is a powerful tool, but often companies get more excited about their technology than in the customer value they’re creating. Radhika Dutt, Geordie Kaytes, and Nidhi Aggarwal share a framework for building customer-centered AI products. You'll learn how to craft a far-reaching vision and strategy centered around customer needs and balance that vision with the day-to-day needs of your company.
9:00am-5:10pm (8h 10m) AI Business Summit, AI in the Enterprise
Bringing AI into the enterprise
Kristian Hammond (Northwestern Computer Science)
Even as AI technologies move into common use, many enterprise decision makers remain baffled about what the different technologies actually do and how they can be integrated into their businesses. Rather than focusing on the technologies alone, Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making.
9:00am-12:30pm (3h 30m) Implementing AI, Models and Methods
Getting up and running with TensorFlow
Amy Unruh (Google)
Amy Unruh walks you through training a machine learning system using popular open source library TensorFlow, starting from conceptual overviews and building all the way up to complex classifiers. Along the way, you'll gain insight into deep learning and how it can be applied to complex problems in science and industry.
1:40pm-5:10pm (3h 30m) Implementing AI, Interacting with AI, Models and Methods
Deploy MXNet and TensorFlow deep learning models with AWS Lambda, Google Cloud Functions, and Azure Functions
Greg Werner (3Blades), N C
Greg Werner walks you through using MXNet and TensorFlow to train deep learning models and deploy them using the leading serverless compute services in the market: AWS Lambda, Google Cloud Functions, and Azure Functions. You'll also learn how to monitor and iterate upon trained models for continued success using standard development and operations tools.
9:00am-12:30pm (3h 30m) Implementing AI, Models and Methods
Accelerate deep neural networks at the edge with the Intel Movidius Neural Compute Stick
Ashwin Vijayakumar (Intel)
Ashwin Vijayakumar gives you a hands-on overview of Intel's Movidius Neural Compute Stick, a miniature deep learning hardware development platform that you can use to prototype, tune, and validate your AI programs (specifically deep neural networks).
1:40pm-5:10pm (3h 30m) Implementing AI, Models and Methods
Building reinforcement learning applications with Ray
Robert Nishihara (UC Berkeley), Philipp Moritz (UC Berkeley), Ion Stoica (UC Berkeley)
Ion Stoica, Robert Nishihara, and Philipp Moritz lead a deep dive into Ray, a new distributed execution framework for reinforcement learning applications, walking you through Ray's API and system architecture and sharing application examples, including several state-of-the art RL algorithms.
9:00am-12:30pm (3h 30m) Implementing AI
word2vec and friends
Bruno Gonçalves (New York University)
Bruno Gonçalves explores word2vec and its variations, discussing the main concepts and algorithms behind the neural network architecture used in word2vec and the word2vec reference implementation in TensorFlow. Bruno then presents a bird's-eye view of the emerging field of "anything"-2vec methods that use variations of the word2vec neural network architecture.
1:40pm-5:10pm (3h 30m) Implementing AI, Models and Methods
PyTorch: A flexible approach for computer vision models
Mo Patel (Independent)
Computer vision has led the artificial intelligence renaissance, and pushing it further forward is PyTorch, a flexible framework for training models. Mo Patel and Neejole Patel offer an overview of computer vision fundamentals and walk you through PyTorch code explanations for notable objection classification and object detection models.
5:20pm-7:30pm (2h 10m)
Ignite
Ignite is happening at AI in New York on Monday, April 30. Join us for a fun, high-energy evening of five-minute talks—all aspiring to live up to the Ignite motto: Enlighten us, but make it quick.
12:30pm-1:40pm (1h 10m)
Break: Lunch sponsored by Intel AI
10:30am-11:00am (30m)
Break: Morning Break
3:10pm-3:40pm (30m)
Break: Afternoon Break