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: AI in the Enterprise sessions

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9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
AI Business Summit
Location: Clinton
Tim Pollio (The Data Incubator), Michael Li (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. Read more.
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9:00am12:30pm Tuesday, April 16, 2019
AI Business Summit
Location: Mercury Ballroom
Chris Butler (Philosophie)
Purpose, a well-defined problem, and trust from people are important factors to any system, especially those that employ AI. Chris Butler leads you through exercises that borrow from the principles of design thinking to help you create more impactful solutions and better team alignment. Read more.
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9:00am5:15pm Tuesday, April 16, 2019
AI Business Summit
Location: Sutton North/Center
Kristian Hammond (Northwestern Computer Science)
Even as AI technologies move into common use, many enterprise decision makers remain baffled about what the different technologies actually do and how they can be integrated into their businesses. Rather than focusing on the technologies alone, Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making. Read more.
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1:45pm5:15pm Tuesday, April 16, 2019
AI Business Summit
Location: Mercury Ballroom
Alex Siegman (Dow Jones), Kabir Seth (Wall Street Journal)
This tutorial walks attendees through the steps necessary to appropriately leverage AI in a large organization: This includes ways to identify business opportunities that lend themselves to AI, as well as best practices on everything from data intake and manipulation to model selection, output analysis, development and deployment, all while navigating a complex organizational structure. Read more.
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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
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
Case Studies, Machine Learning
Location: Sutton South
Maryam Jahanshahi (TapRecruit)
Word embeddings such as word2vec have revolutionized language modelling. In this talk I will discuss exponential family embeddings, which apply probabilistic embedding models to other data types. I describe how we implemented a dynamic embedding model to understand how tech skill-sets have changed over 3 years. The key takeaway is that these models can enrich analysis of specialized datasets. Read more.
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2:40pm3:20pm Wednesday, April 17, 2019
Implementing AI
Location: Mercury Rotunda
Sumeet Vij (Booz Allen Hamilton)
The session describes the innovative application of Deep Learning to power Cognitive Conversational Agents. By leveraging Transfer Learning and deep pre-trained models for NLP, we show how Chatbots can overcome limitations of limited training datasets. In addition, we will demonstrate how Machine Learning can advances Robotic Process Automation (RPA) from “robotic” to “cognitive” automation Read more.
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2:40pm3:20pm Wednesday, April 17, 2019
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
AI Business Summit, Case Studies
Location: Sutton North/Center
Kyle Hoback (WorkFusion), Mikhail Abramchik (WorkFusion)
Using AI to combat financial crime is more than strong fraud detection models monitoring transactions. Banks follow significant Anti-Money Laundering (AML) and Know-Your-Customer (KYC) laws and procedures, wrought with growth chained to cost and requiring auditable automation. This session will walk-through a series of case studies that utilize AI-powered RPA that address AML and KYC. Read more.
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4:05pm4:45pm Wednesday, April 17, 2019
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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11:05am11:45am Thursday, April 18, 2019
Implementing AI
Location: Mercury Rotunda
Diego Oppenheimer (Algorithmia)
In this talk, Diego Oppenheimer, CEO of Algorithmia, will draw upon his work with thousands of developers across hundreds of organizations and discuss the tools and processes every business will need to automate model deployment and management so they can optimize model performance, control compute costs, maintain governance, and keep data scientists doing data science. Read more.
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1:00pm1:40pm Thursday, April 18, 2019
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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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
Machine Learning, Models and Methods
Location: Grand Ballroom West
Maja Vukovic (IBM)
Existing AI driven automation in enterprises employ ML, NLP and chatbots. There is additional opportunity for AI Planning to drive reasoning about action trajectories to help build automation. I will demo application of AI planning for migration of legacy infrastructure to Cloud, based on real world examples and data, and discusses challenges in adopting AI planning solutions in the enterprise. Read more.