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: Executive Briefing/Best Practices sessions

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11:05am11:45am Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:  AI in the Enterprise, Data and Data Networks, Ethics, Privacy, and Security, Health and Medicine, Retail and e-commerce
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
Location: Mercury Ballroom
Secondary topics:  AI in the Enterprise
Larry Carin (Infinia ML)
Duke Professor Larry Carin, one of the world’s most published machine learning researchers, discusses the state of the art in machine learning, and how it translates to business impact. Carin will present examples of how modern machine learning is transforming business in several sectors, including healthcare delivery, security, and back-office business processing. Read more.
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1:50pm2:30pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:  Ethics, Privacy, and Security, Financial Services, Health and Medicine, Reliability and Safety
Anand Rao (PwC)
Broader AI adoption and gaining trust from customers requires AI systems to be fair, interpretable, robust, and safe. This talk synthesizes the current research in FAT (Fairness, Accountability, Transparency) into a step-by-step methodology to address these issues. Case studies from financial services and healthcare are used to illustrate the approach. Read more.
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2:40pm3:20pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:  AI in the Enterprise, Ethics, Privacy, and Security
Anna Gressel (Debevoise & Plimpton LLP), Jim Pastore (Debevoise & Plimpton LLP), Anwesa Paul (American Express)
This is a crash course on the emerging legal and regulatory frameworks governing AI, including GDPR and California Consumer Privacy Act. It will also explore key lawsuits challenging AI in U.S. courts - and unpack implications for companies going forward. By understanding these trends, companies can more effectively mitigate legal and regulatory risks and position their AI products for success. Read more.
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4:05pm4:45pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:  AI in the Enterprise, Automation in machine learning and AI, Platforms and infrastructure
Sarah Aerni (Salesforce Einstein)
How does Salesforce manage to make data science an agile partner to over 100,000 customers? We will share the nuts and bolts of the platform and our agile process. From our open-source autoML library (TransmogrifAI) and experimentation to deployment and monitoring, we will cover how the tools make it possible for our data scientist to rapidly iterate and adopt a truly agile methodology. Read more.
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4:55pm5:35pm Wednesday, April 17, 2019
Location: Mercury Ballroom
Secondary topics:  Financial Services
Angelo Calvello (Rosetta Analytics)
While there is no doubt that AI could be used to create better investment outcomes, successfully adopting AI requires asset managers to radically transform their existing business models and investment processes. Faced with such possible disruption, leadership will instead choose to maintain the status quo and introduce diluted forms of AI. Read more.
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11:05am11:45am Thursday, April 18, 2019
Location: Mercury Ballroom
Secondary topics:  Data and Data Networks
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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1:00pm1:40pm Thursday, April 18, 2019
Location: Mercury Ballroom
Secondary topics:  AI in the Enterprise
Vinay Seth Mohta (Manifold)
A significant hype bubble is building up around AI that has convinced many executives that, if they’re not already tech-savvy, they might not be ready for AI’s “transformative power.” However, the reality is that AI is just another tool that can help your business, and you’re probably not that far behind. This talk will explain how to evaluate it as you would any other strategic investment. Read more.
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1:50pm2:30pm Thursday, April 18, 2019
Location: Mercury Ballroom
Jana Eggers (Nara Logics)
Explainability and transparency are discussed and debated as both required and unachievable goals for AI. This talk will focus on helping teams structure discussions about levels of explainability possible and needed for both user trust and regulatory requirements. Read more.
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2:40pm3:20pm Thursday, April 18, 2019
Location: Mercury Ballroom
Secondary topics:  AI case studies, Text, Language, and Speech
David Talby (Pacific AI)
New AI solutions in question answering, chatbots, structured data extraction, text generation, and inference all require deep understanding of the nuances of human language. David Talby shares challenges, risks, and best practices for building NLU-based systems, drawing on examples and case studies from products and services built by Fortune 500 companies and startups over the past seven years. Read more.
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4:05pm4:45pm Thursday, April 18, 2019
Location: Mercury Ballroom
Secondary topics:  AI in the Enterprise, Automation in machine learning and AI, Data and Data Networks
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
Location: Mercury Ballroom
Secondary topics:  Edge computing and Hardware
Jennifer Fernick (Scotiabank / Institute for Quantum Computing, University of Waterloo )
Quantum computers will enable us to efficiently compute things never thought possible - how will this impact artificial intelligence? In this talk, attendees will learn to filter signal from noise in discussions surrounding quantum machine learning by exploring how quantum computers work, what types of AI problems they may be good at, and which industries and use cases will (and will not) benefit. Read more.