Presented By
O’Reilly + Intel AI
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.

8:55am Wednesday, April 17, 2019
Keynote by Ben Lorica and Roger Chen Full Details
8:45am Wednesday, April 17, 2019
Opening Remarks Full Details
9:00am Thursday, April 18, 2019
Opening Remarks Full Details
Danielle Dean

Danielle Dean
Principal Data Scientist Lead, Microsoft

Danielle Dean, PhD is a Principal Data Scientist Lead at Microsoft Corp. in AzureCAT within the Cloud AI Platform division. She currently leads an international team of data scientists and engineers to build predictive analytics and machine learning solutions with... Read More.

Desiree Gosby

Desiree Gosby
Innovation Architect, Intuit

Desirée Gosby is VP, 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.

An Intuit veteran of 10 years, Gosby first started... Read More.

9:45am Wednesday, April 17, 2019
Language is one of the most powerful tools in our highly social, interconnected society. If it takes years for a child to read proficiently, how is it possible to translate such a nuanced, complicated, human-centric concept like reading and comprehension for a computer? How do you write code to understand context cues? Full Details
Sean Gourley

Sean Gourley
Founder, Primer

Sean Gourley is founder and CEO of Primer. Before Primer, Sean was co-founder & CTO of Quid, an augmented-intelligence company. He holds a PhD in physics from Oxford, where his research as a Rhodes Scholar focused on complex... Read More.

9:05am Thursday, April 18, 2019
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.

9:30am Thursday, April 18, 2019
Applied Machine Learning at Facebook Full Details
Martial Hebert

Martial Hebert
Director of Robotics Institute, Carnegie Mellon University

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, Hebert earned a doctorate in computer science at the University of Paris, joining... Read More.

10:25am Wednesday, April 17, 2019
This talk will give a brief overview of current challenges in AI for Robotics, and a glimpse of the exciting developments emerging in current research. Full Details
Carlos Humberto  Morales

Carlos Humberto Morales
Sr. Director, Deep Learning Systems, Intel

9:20am Thursday, April 18, 2019
Deep Learning is hard enough without worrying about setting up and managing complex infrastructure. Nauta is an open source Deep Learning ‘easy button’ allowing teams of data scientists to run complex distributed models on shared hardware resources. Full Details
Tony Jebara

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

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. His work has... Read More.

10:05am Wednesday, April 17, 2019
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. Today, we use nonlinear, probabilistic, and deep learning approaches to make even better rankings of our movies and TV shows for each user. Full Details
Joleen Liang

Joleen Liang

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

10:20am Wednesday, April 17, 2019
Keynote by Joleen Liang (Sponsored by Squirrel AI) Full Details
Ben Lorica

Ben Lorica
Chief Data Scientist, O'Reilly Media

Ben Lorica is the chief data scientist at O’Reilly Media. 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... Read More.

8:55am Wednesday, April 17, 2019
Keynote by Ben Lorica and Roger Chen Full Details
8:45am Wednesday, April 17, 2019
Opening Remarks Full Details
9:00am Thursday, April 18, 2019
Opening Remarks Full Details
Aleksander Madry

Aleksander Madry
, MIT

9:20am Wednesday, April 17, 2019
In this talk, Aleksander will discuss major roadblocks that prevent the current AI framework from having this kind of broad impact and will outline approaches to addressing these issues and making this framework truly "human-ready". Full Details
Kurt Muehmel

Kurt Muehmel
Account Executive, Dataiku

Kurt Muehmel, an early member of the Dataiku team, was originally a student of moral and ethical philosophy. Across several international moves, he has worked for the United Nations, a Big Four consultancy, as well as struggling high school in the... Read More.

10:00am Wednesday, April 17, 2019
As AI technologists, we must consider the ethical implications of what we are building. In this 5-minute keynote, Kurt Muehmel, VP of Solutions Engineering at Dataiku, will position AI in the broader discussion of the ethics of technology and argue that inclusivity & collaboration is a necessary answer. Full Details
Rajendra Prasad

Rajendra Prasad
AI and Automation Lead, Accenture

Rajendra Prasad (RP) leads automation and artificial intelligence for Accenture Technology Services. In this role, he focuses on driving efficiency into the delivery of Accenture services across the application lifecycle, and leads a global team of highly qualified professionals who... Read More.

10:10am Thursday, April 18, 2019
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. He led IBM Watson as its CTO and Chief Architect from 2016-19 and has held various technical, research, and engineering leadership roles across IBM’s AI and Research... Read More.

9:45am Thursday, April 18, 2019
Learn about the next revolution in automating AI - which strives to deploy AI itself to automate the task building, deploying and managing AI tasks, accelerating the journey of enterprises to AI. Full Details
Chris Re

Chris Re
Assistant Professor, Stanford University and Apple

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

9:55am Thursday, April 18, 2019
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 Corporation. He is responsible for the planning and architecture of future products and technologies in the AI space, including dedicated Deep Learning... Read More.

Olga Troyanskaya

Olga Troyanskaya
Princeton University

10:15am Thursday, April 18, 2019
Keynote by Olga Troyanskaya Full Details