Sep 9–12, 2019
 
111
9:00am AI for managers Nicholas Cifuentes-Goodbody (The Data Incubator)
112
9:00am Deep learning with PyTorch Rich Ott (The Data Incubator)
113
9:00am Recommendation system using deep learning Amit Kapoor (narrativeVIZ), Bargava Subramanian (Binaize Labs)
114
9:00am Put deep learning to work: A practical introduction using Amazon Web Services Wenming Ye (Amazon Web Services), Miro Enev (NVIDIA), Mahendra Bairag (Amazon Web Services)
Santa Clara Room (Hilton)
9:00am Natural language processing with deep learning Delip Rao (AI Foundation), Brian McMahan (Wells Fargo)
Market (Hilton)
9:00am Deep learning with TensorFlow Robert Schroll (The Data Incubator)
12:30pm Lunch | Room: LL Foyer
8:00am Morning Coffee | Room: Outside meeting rooms
10:30am Morning Break | Room: Outside meeting rooms
3:00pm Afternoon Break | Room: Outside meeting rooms
7:00pm AI Dine-Around | Room: Various Locations
9:00am-5:00pm (8h) AI Business Summit Ethics, Security, and Privacy
AI for managers
Nicholas Cifuentes-Goodbody (The Data Incubator)
Nicholas Cifuentes-Goodbody leads you through a nontechnical overview of AI and data science. You’ll learn how to apply common techniques in organization and common pitfalls. You’ll pick up the language and develop a framework to effectively engage with technical experts and use their input and analysis for your business’s strategic priorities and decision making.
9:00am-5:00pm (8h) Deep Learning, Deep Learning tools, Machine Learning
Deep learning with PyTorch
Rich Ott (The Data Incubator)
PyTorch is a machine learning library for Python that allows you 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. Get the knowledge you need to build deep learning models using real-world datasets and PyTorch with Rich Ott.
9:00am-5:00pm (8h)
Recommendation system using deep learning
Amit Kapoor (narrativeVIZ), Bargava Subramanian (Binaize Labs)
Recommendation systems play a significant role—for users, a new world of options; for companies, it drives engagement and satisfaction. Amit Kapoor and Bargava Subramanian walk you through the different paradigms of recommendation systems and introduce you to deep learning-based approaches. You'll gain the practical hands-on knowledge to build, select, deploy, and maintain a recommendation system.
9:00am-5:00pm (8h) Deep Learning tools, Machine Learning, Reinforcement Learning
Put deep learning to work: A practical introduction using Amazon Web Services
Wenming Ye (Amazon Web Services), Miro Enev (NVIDIA), Mahendra Bairag (Amazon Web Services)
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, Miro Enev, and Mahendra Bairag detail a practical next step in DL learning with instructions, demos, and hands-on labs.
9:00am-5:00pm (8h) Deep Learning, Text, Language, and Speech
Natural language processing with deep learning
Delip Rao (AI Foundation), Brian McMahan (Wells Fargo)
Delip Rao and Brian McMahan explore natural language processing using a set of machine learning techniques known as deep learning. They walk you through neural network architectures and NLP tasks and teach you how to apply these architectures for those tasks.
9:00am-5:00pm (8h) Deep Learning, Deep Learning tools, Machine Learning
Deep learning with TensorFlow
Robert Schroll (The Data Incubator)
The TensorFlow library provides computational graphs with automatic parallelization across resources, ideal architecture for implementing neural networks. Robert Schroll walks you through TensorFlow's capabilities in Python from building machine learning algorithms piece by piece to using the Keras API provided by TensorFlow with several hands-on applications.
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
7:00pm-9:00pm (2h)
AI Dine-Around
Get to know your fellow attendees over dinner. We've made reservations for you at some of the most sought-after restaurants in town.

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