Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.
 
Clinton
Add AI for Managers  to your personal schedule
9:00am AI for Managers Tim Schwuchow (The Data Incubator )
Madison
Add  Deep Learning with TensorFlow to your personal schedule
9:00am Deep Learning with TensorFlow Dylan Bargteil (The Data Incubator)
Harlem
Add Deep Learning with PyTorch to your personal schedule
9:00am Deep Learning with PyTorch Ana Hocevar (The Data Incubator)
Holland Suite
9:00am
Green Room
Hudson Suite
9:00am
Midtown Suite
Add Natural language processing with deep learning to your personal schedule
9:00am Natural language processing with deep learning Delip Rao (R7 Speech Science)
10:30am Morning Break | Room: TBD
12:30pm Lunch | Room: TBD
3:00pm Afternoon Break | Room: TBD
9:00am-5:00pm (8h) AI Business Summit AI in the Enterprise
AI for Managers
Tim Schwuchow (The Data Incubator )
This course is a non-technical overview of AI and data science. You’ll learn common techniques, how to apply them in your organization, and common pitfalls to avoid. Though this course, you’ll pick up the language and develop a framework to be able to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making.
9:00am-5:00pm (8h) Implementing AI Deep Learning and Machine Learning tools
Deep Learning with TensorFlow
Dylan Bargteil (The Data Incubator)
The TensorFlow library provides for the use of computational graphs, with automatic parallelization across resources. This architecture is ideal for implementing neural networks. This training will introduce TensorFlow's capabilities in Python. It will move from building machine learning algorithms piece by piece to using the Keras API provided by TensorFlow with several hands-on applications.
9:00am-5:00pm (8h) Deep Learning and Machine Learning tools
Deep Learning with PyTorch
Ana Hocevar (The Data Incubator)
PyTorch is a machine learning library for Python that allows users to build deep neural networks with great flexibility. Its easy to use API and seamless use of GPUs make it a sought-after tool for deep learning. This course will introduce the PyTorch workflow and demonstrate how to use it. Students will be equipped with the knowledge to build deep learning models using real-world datasets.
9:00am-5:00pm (8h)
Session
9:00am-5:00pm (8h) Implementing AI, Models and Methods Deep Learning and Machine Learning tools, Financial Services, Models and Methods, Temporal data and time-series
Forecasting Financial Time Series with Deep Learning on Azure
Francesca Lazzeri (Microsoft)
Francesca Lazzeri will walk you through the core steps for using Azure Machine Learning services to train your machine learning models both locally and on remote compute resources.
9:00am-5:00pm (8h)
Session
9:00am-5:00pm (8h) Implementing AI, Models and Methods Deep Learning and Machine Learning tools, Models and Methods, Text, Language, and Speech
Natural language processing with deep learning
Delip Rao (R7 Speech Science)
Delip Rao explores natural language processing with deep learning, walking you through neural network architectures and NLP tasks and teaching you how to apply these architectures for those tasks.
10:30am-11:00am (30m)
Break: Morning Break
12:30pm-1:30pm (1h)
Break: Lunch
3:00pm-3:30pm (30m)
Break: Afternoon Break