Put AI to Work
April 15-18, 2019
New York, NY
 
Rendezvous
Add AI for managers (SOLD OUT) to your personal schedule
9:00am AI for managers (SOLD OUT) Michael Li (The Data Incubator), Russell Martin (The Data Incubator)
Gibson
Add  Deep learning with TensorFlow (SOLD OUT) to your personal schedule
9:00am Deep learning with TensorFlow (SOLD OUT) Dylan Bargteil (The Data Incubator)
Madison
Add Deep learning with PyTorch to your personal schedule
9:00am Deep learning with PyTorch Ana Hocevar (The Data Incubator)
Regent
Add Forecasting financial time series with deep learning on Azure  to your personal schedule
9:00am Forecasting financial time series with deep learning on Azure Francesca Lazzeri (Microsoft), Wee Hyong Tok (Microsoft), Krishna Anumalasetty (Microsoft)
Sutton Center
Add Put deep learning to work: A practical introduction using Amazon Web Services  to your personal schedule
9:00am Put deep learning to work: A practical introduction using Amazon Web Services Wenming Ye (Amazon Web Services), Miro Enev (NVIDIA)
Clinton
Add Natural language processing with deep learning (SOLD OUT) to your personal schedule
9:00am Natural language processing with deep learning (SOLD OUT) Delip Rao (AI Foundation), Brian McMahan (Wells Fargo)
12:30pm Lunch | Room: Mercury Ballroom
8:00am Morning Coffee | Room: 2nd Floor Promenade
10:30am Morning Break | Room: Sutton Foyer
3:00pm Afternoon Break | Room: Sutton Foyer
9:00am-5:00pm (8h) AI Business Summit AI in the Enterprise
AI for managers (SOLD OUT)
Michael Li (The Data Incubator), Russell Martin (The Data Incubator)
Michael Li and Russ Martin offer a nontechnical overview of AI and data science. You’ll learn common techniques and how to apply them as well as common pitfalls to avoid. Along the way, you’ll pick up the language of AI 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 (SOLD OUT)
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. Dylan Bargteil walks you through TensorFlow's capabilities in Python, teaching you how to build machine learning algorithms piece by piece and use 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. Ana Hocevar introduces the PyTorch workflow and demonstrates how to use it to build deep learning models using real-world datasets.
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), Wee Hyong Tok (Microsoft), Krishna Anumalasetty (Microsoft)
Francesca Lazzeri, Wee Hyong Tok, and Krishna Anumalasetty 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)
Put deep learning to work: A practical introduction using Amazon Web Services
Wenming Ye (Amazon Web Services), Miro Enev (NVIDIA)
Machine learning (ML) and deep learning (DL) projects are becoming increasingly common at enterprises and startups alike and have been a key innovation engine for Amazon businesses such as Go, Alexa, and Robotics. Wenming Ye and Miro Enev give you a practical introduction to the next step in DL learning, with lecture, demos, and hands-on labs.
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 (SOLD OUT)
Delip Rao (AI Foundation), Brian McMahan (Wells Fargo)
Delip Rao and Brian McMahan explore 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.
12:30pm-1:30pm (1h)
Break: Lunch
8:00am-9:00am (1h)
Break: Morning Coffee
10:30am-11:00am (30m)
Break: Morning Break
3:00pm-3:30pm (30m)
Break: Afternoon Break