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.

Schedule: Data and Data Networks sessions

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11:05am11:45am Wednesday, April 17, 2019
Deepashri Varadharajan (CB Insights)
At CB Insights, we track over 3,000 AI startups across 25+ verticals. While every vertical has benefited from deep learning and better hardware processing, the bottlenecks and opportunities are unique to each sector. We will explore what is driving AI applications in different verticals like healthcare, retail, and security, and analyze emerging business models. Read more.
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1:00pm1:40pm Wednesday, April 17, 2019
Machine Learning, Models and Methods
Location: Regent Parlor
Danny Lange (Unity Technologies)
Join this session to learn how to create artificially intelligent agents that act in the physical world (through sense perception and some mechanism to take physical actions, such as driving a car). Understand how observing emergent behaviors of multiple AI agents in a simulated virtual environment can lead to the most optimal designs and real-world practices. Read more.
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11:05am11:45am Thursday, April 18, 2019
Thomas G Marlow (Black Hills IP)
Three elements will control the AI market - Technology, Data and IP Rights. Leveraging rich patent data, we will uncover the companies with the top patent holdings across the world in groundbreaking research and implementation technologies, gaining insights into the sources and owners of AI technology as well as the hurdles and opportunities that lay in front of those entering the field today. Read more.
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4:05pm4:45pm Thursday, April 18, 2019
Interacting with AI
Location: Mercury Rotunda
Humayun Irshad (Figure Eight)
In this talk, an active learning framework with crowd sourcing approach is introduced to solve a real-world problem in transportation and autonomous driving discipline, parking sign recognition, for which a large amount of unlabeled data is available. It generates an accurate model in a cost-effective and fast way to solve the parking sign recognition problem in spite of the unevenness of the data Read more.
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4:05pm4:45pm Thursday, April 18, 2019
AI Business Summit, Case Studies
Location: Sutton North/Center
A case study that details lights-out automation and how DCL uses AI to transform massive volumes of confidential disparate data into searchable and structured information. Considerations for architecting a solution that processes a continuous flow of 5M+ “pages” of complex work units. Read more.
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4:05pm4:45pm Thursday, April 18, 2019
Paco Nathan (derwen.ai)
Data governance is an almost overwhelming topic. This talk surveys history, themes, plus a survey of tools, process, standards, etc. Mistakes imply data quality issues, lack of availability, and other risks that prevent leveraging data. OTOH, compliance issues aim to preventing risks of leveraging data inappropriately. Ultimately, risk management plays the "thin edge of the wedge" in enterprise. Read more.
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4:55pm5:35pm Thursday, April 18, 2019
Implementing AI
Location: Mercury Rotunda
Dmitry Petrov (Iterative AI), Ivan Shcheklein (Iterative AI)
Many companies are using machine learning today, ML teams size is growing and complexity of ML project is increasing. Establishing a well define and manageable process become a central issue in this environment. ML models and data set versioning is an essential first step in the direction of establishing a good process. We will discuss open source tools and practices for ML models versioning. Read more.