Put AI to Work
April 15-18, 2019
New York, NY

Keynotes

Hear inspiring and illuminating presentations from experts and executives at the AI Conference.

 
Roger Chen

Roger Chen
CEO, Computable

Roger Chen is cofounder and CEO of Computable and program chair for the O’Reilly Artificial Intelligence Conference. Previously, he was a principal at O’Reilly AlphaTech Ventures (OATV), where he invested in and worked with early-stage startups primarily in... Read More.

Accelerating AI Adoption
Keynote by Ben Lorica and Roger Chen Full Details
9:00am Thursday, April 18, 2019
Opening remarks
Conference cochairs Ben Lorica, Roger Chen, and Alexis Crowell Helzer open the second day of keynotes. Full Details
8:45am Wednesday, April 17, 2019
Opening remarks and keynote
Conference cochairs Ben Lorica, Roger Chen, and Alexis Crowell Helzer open the first day of keynotes. Full Details
Alexis Crowell Helzer

Alexis Crowell Helzer
Senior Director, AI Product Marketing, Intel

Alexis Crowell Helzer is senior director of artificial intelligence product marketing at Intel, where she and her team are responsible for technical positioning and messaging as well as outbound content and campaigns for Intel AI products. Alexis and her team... Read More.

9:00am Thursday, April 18, 2019
Opening remarks
Conference cochairs Ben Lorica, Roger Chen, and Alexis Crowell Helzer open the second day of keynotes. Full Details
8:45am Wednesday, April 17, 2019
Opening remarks and keynote
Conference cochairs Ben Lorica, Roger Chen, and Alexis Crowell Helzer open the first day of keynotes. Full Details
Nick Curcuru

Nick Curcuru
Vice President, Enterprise Information Management, Mastercard

Nick Curcuru is vice president of enterprise information management at Mastercard, where he’s responsible for leading a team that works with organizations to generate revenue through smart data, architect next-generation technology platforms, and protect data assets from cyberattacks by leveraging... Read More.

9:30am Thursday, April 18, 2019
Artificial Intelligence - the “refinery” for Data (Sponsored by Dell Technologies)
Nick Curcuru, VP, Data Analytics and Cyber Security, will discuss Mastercard’s commitment to AI and its recent investments and developments. Full Details
Danielle Dean

Danielle Dean
Technical Director, Machine Learning, iRobot

Danielle Dean is the technical director of machine learning at iRobot. Previously, she was a principal data science lead at Microsoft. She holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill.

9:25am Wednesday, April 17, 2019
Automated ML: A journey from CRISPR.ML to Azure ML (sponsored by Microsoft Azure)
Automated ML is at the forefront of Microsoft’s push to make Azure ML an end-to-end solution for anyone who wants to build and train models that make predictions from data and then deploy them anywhere. Join Danielle Dean for a surprising conversation about a data scientist’s dilemma, a researcher’s ingenuity, and how cloud, data, and AI came together to help build automated ML. Full Details
Desiree Gosby

Desiree Gosby
Innovation Architect, Intuit

Desirée Gosby is vice president of identity and profile at Intuit, where she leads a team of data and software engineers to architect and develop all aspects of identity for 50M Intuit customers. Desi began her 10-year career at Intuit... Read More.

9:35am Wednesday, April 17, 2019
Teaching a computer to read
Desi Gosby dedicated years to developing technology that applies advanced machine learning capabilities to translate images and characters into an easy-to-use digital experience. Desi shares unique technical challenges faced and lessons learned while applying computer vision to seeing and reading complex financial documents, as well as what is next for the future of computer vision. Full Details
Sean Gourley

Sean Gourley
Founder and CEO, Primer

Sean Gourley is founder and CEO of Primer. Previously, he was cofounder and CTO of augmented intelligence company Quid. He sits on the board of directors at Anadarko and is a TED fellow. Sean holds a PhD... Read More.

9:05am Thursday, April 18, 2019
Computational Propaganda
Keynote by Sean Gourley Full Details
Kim Hazelwood

Kim Hazelwood
Facebook

Kim Hazelwood is a senior engineering manager leading the AI Infrastructure Foundation and AI Infrastructure Research efforts at Facebook, where the focus is designing and optimizing efficiency hardware and software systems for Facebook’s many applied machine learning-based products and services.... Read More.

9:35am Thursday, April 18, 2019
Applied machine learning at Facebook
Applied Machine Learning at Facebook Full Details
Martial Hebert

Martial Hebert
Director, Robotics Institute, First Child Designs

Martial Hebert is the director of Carnegie Mellon University’s Robotics Institute, a department in the School of Computer Science. A leading researcher in computer vision and robotics, Martial joined the faculty of the Robotics Institute in 1984, just five years... Read More.

10:20am Wednesday, April 17, 2019
AI and the robotics revolution
Martial Hebert offers a brief overview of current challenges in AI for robotics and a glimpse of the exciting developments emerging in current research. Full Details
Thomas Henson

Thomas Henson
Unstructured Data Solutions Senior Systems Engineer, Dell Technologies

Thomas Henson is a data engineering advocate and senior systems engineer for the unstructured data solutions team at Dell EMC. Thomas has been involved in many different big data, analytics, and artificial intelligence projects throughout his career, with a... Read More.

9:55am Wednesday, April 17, 2019
Data Fueling AI of the Future (sponsored by Dell Technologies)
Keynote by Thomas Henson Full Details
Carlos Humberto Morales

Carlos Humberto Morales
Senior Director, Deep Learning Systems, Intel

Carlos Humberto Morales is the senior director of deep learning systems at Intel, where he obsesses over making AI development easier and more available. Previously, Carlos was Nervana’s platform architect and an architect for Cisco Systems, where he focused on... Read More.

9:20am Thursday, April 18, 2019
Making real-world distributed deep learning easy with Nauta
Carlos Humberto Morales offers an overview of Nauta, a new open source multiuser platform that allows teams of data scientists to run complex deep learning models on shared hardware resources. Full Details
Tony Jebara

Tony Jebara
Associate Professor | Chief Scientist , Columbia University | Netflix

Tony Jebara is director of machine learning at Netflix and professor on leave from Columbia University. He has published over 100 peer-reviewed papers in leading conferences and journals across machine learning, computer vision, social networks, and recommendation and is the... Read More.

10:00am Wednesday, April 17, 2019
Machine learning for personalization
For many years, the main goal of the Netflix recommendation system has been to get the right titles in front of each member at the right time. Tony Jebara details the approaches Netflix uses to recommend titles to users and discusses how the company is working on integrating causality and fairness into many of its machine learning and personalization systems. Full Details
Joleen Liang

Joleen Liang
Partner, Squirrel AI Learning

Joleen Liang is a partner at Squirrel AI Learning, mainly in charge of branding and media. Joleen is a successful serial entrepreneur and experienced brand planner who has successively built a number of fast-moving consumer goods, young fashion catering, and... Read More.

10:15am Wednesday, April 17, 2019
How AI Adaptive Technology can Upgrade Education Industry - Using MIBA, MCM, Deep Learning and NKC for AI + Adaptive Education (sponsored by Squirrel AI Learning)
Keynote by Joleen Liang Full Details
Ben Lorica

Ben Lorica
Chief Data Scientist, O'Reilly

Ben Lorica is the chief data scientist at O’Reilly. Ben has applied business intelligence, data mining, machine learning, and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering.... Read More.

Accelerating AI Adoption
Keynote by Ben Lorica and Roger Chen Full Details
9:00am Thursday, April 18, 2019
Opening remarks
Conference cochairs Ben Lorica, Roger Chen, and Alexis Crowell Helzer open the second day of keynotes. Full Details
8:45am Wednesday, April 17, 2019
Opening remarks and keynote
Conference cochairs Ben Lorica, Roger Chen, and Alexis Crowell Helzer open the first day of keynotes. Full Details
Aleksander Madry

Aleksander Madry
Associate Professor, MIT

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9:10am Wednesday, April 17, 2019
Is AI human-ready?
Aleksander Madry discusses major roadblocks that prevent current AI frameworks from having a broad impact and outlines approaches to addressing these issues and making AI frameworks truly human-ready. Full Details
Kurt Muehmel

Kurt Muehmel
Vice President, Solutions Engineering, Dataiku

Kurt Muehmel is the vice president of solutions engineering at Dataiku, where he’s built analytics and AI solutions for Fortune 100 companies worldwide and is building its solutions engineering capability worldwide. Having worked with dozens of clients of all sizes... Read More.

9:50am Wednesday, April 17, 2019
Toward ethical AI: Inclusivity as a messy, difficult, but promising answer (sponsored by Dataiku)
AI technologists must consider the ethical implications of what we're building. Kurt Muehmel explores AI within a broader discussion of the ethics of technology, arguing that inclusivity and collaboration is a necessary answer. Full Details
Rajendra Prasad

Rajendra Prasad
Automation and Artificial Intelligence Lead, Accenture

Rajendra Prasad (RP) is the Global Automation and Artificial Intelligence Lead for Accenture Technology Services. In this leadership role, RP focuses on driving efficiency across the IT application lifecycle for Fortune 500 companies. With his more than 25 years of... Read More.

10:15am Thursday, April 18, 2019
Simple, scalable, and sustainable: A methodical approach to AI adoption (sponsored by Accenture)
After crossing the first AI implementation milestone, leaders often ask, "What’s next?" Based on experience implementing AI-led automation for more than 100 clients, Accenture has developed an easy-to-use methodology for scaling and sustaining reliable AI solutions. Rajendra Prasad (RP) explains how leaders and change makers in large enterprises can make AI adoption successful. Full Details
Ruchir Puri

Ruchir Puri
CTO and Chief Architect, IBM Watson, IBM

Ruchir Puri is the chief scientist of IBM Research and an IBM Fellow. Previously, he led IBM Watson as its CTO and chief architect and has held various technical, research, and engineering leadership roles across IBM’s AI and Research businesses... Read More.

9:50am Thursday, April 18, 2019
Automation of AI: Accelerating the AI revolution (sponsored by IBM Watson)
Ruchir Puri discusses the next revolution in automating AI, which strives to deploy AI to automate the task of building, deploying, and managing AI tasks, accelerating enterprises' journey to AI. Full Details
Chris Re

Chris Re
Assistant Professor, Stanford University | Apple

Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He’s also affiliated with the Statistical Machine Learning Group, the Pervasive Parallelism Lab, and the Stanford AI Lab. His work’s goal is to enable... Read More.

10:00am Thursday, April 18, 2019
Software 2.0 & Snorkel
Keynote by Christopher Ré Full Details
Gadi Singer

Gadi Singer
Vice President of the Artificial Intelligence Products Group and General Manager of Architecture at Intel Corporation, Intel

Gadi Singer is vice president of the Artificial Intelligence Products Group and general manager of architecture at Intel, where he’s responsible for the planning and architecture of future products and technologies in the AI space, including dedicated deep learning ASICs... Read More.

8:55am Wednesday, April 17, 2019
Fast, flexible, and functional: 4 real-world AI deployments at enterprise scale
Gadi Singer explores four real-world AI deployments at enterprise scale. Full Details
Olga Troyanskaya

Olga Troyanskaya
Princeton University

Olga Troyanskaya is a professor at the Lewis-Sigler Institute for Integrative Genomics and the Department of Computer Science at Princeton University and deputy director for genomics at the Flatiron Institute of the Simons Foundation. Her group is focused on developing... Read More.

10:20am Thursday, April 18, 2019
Decoding the human genome with deep learning
How can machine learning decode the mysteries of life? Why are algorithms essential to enabling precision medical treatments? How do genomes encode the diversity of cells that make up humans and the signals predisposing us to diseases? Olga Troyanskaya discusses these and other questions through the prism of developing deep learning-based approaches for analysis of the human genome. Full Details