Sep 9–12, 2019

About the O'Reilly AI Conference

Organizations that successfully apply AI innovate and compete more effectively. Make plans to join us at the O'Reilly AI Conference and chart your business transformation.

Why you should attend

If you want to understand how AI will change the business landscape, or are working with deep learning or AI (or plan to be)—join us at the O'Reilly AI Conference. You'll:

  • Be among the first to understand how you can leverage the promise of this huge change, and survive the resulting disruption
  • Find new ways to leverage your AI assets across industries and disciplines
  • Learn how to take AI from science project to real business application
  • Discover learning, hiring, and career opportunities
  • Meet-face-to face with other innovators and thought leaders
AI Conference

Who you'll meet

Technical

  • Algorithms Engineers/Scientists
  • CxOs (Analytics, Data, Information, Innovation, Technology)
  • Data Scientists/Engineers
  • Research Scientists
  • Software Engineers

Business/Strategy

  • Business Analysts
  • Business Managers, strategists, and decision makers
  • Chief Innovation Officers, Innovation Managers, Directors of Innovation
  • Chief Investment Officers/Managers
  • Product Marketing Managers, Product Managers, Program Managers
AI Conference AI Conference

The O'Reilly AI Conference experience

The O'Reilly AI Conference is a unique opportunity for the brightest minds in applied AI to gather for four intense and invigorating days. You’ll find:

  • Inspiring keynotes and practical, information-rich sessions, exploring the latest advances, case studies, and best practices
  • Tutorials and training courses designed to investigate tools, algorithms, and applications more deeply
  • Networking opportunities with hundreds of other engineers, researchers, developers, program and product managers, innovation officers, and other deep learning professionals in the burgeoning AI field
  • A vibrant "hallway track" for attendees, speakers, and journalists to debate and discuss important issues
AI Conference

What people are saying

Thanks for the great conference. Can't wait to put some of the things we learned into practice and hope to be back next year!
Carl Hinkle
The past 2 days were really inspiring! Met great people with brilliant ideas!
Eric Martel
Excellent sessions on the philosophical and policy implications of AI.
Dan Woods, Forbes
Made some great connections and new friends.
Rucha Gokhale
More of a pragmatic AI conference than many of the others.
Evan Wright
There is no better place to imbibe the most up-to-date tech zeitgeist.
Gill Press, Forbes

Conference Chairs

Photo of Ben Lorica
Ben Lorica, @bigdata

Ben Lorica

Ben Lorica is the chief data scientist at O'Reilly Media, Inc. He 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. His background includes stints with an investment management company, internet startups, and financial services.

Photo of Julie Shin Cho
Julie Shin Choi, @juliechoi

Julie Shin Choi

Julie Shin Choi is VP and GM of Artificial Intelligence Products and Research Marketing at Intel Corporation. She is responsible for marketing the Intel portfolio of hardware and software products for building enterprise scale AI solutions. She is driving the AI marketing strategy across Intel, helping customers, developers, and the ecosystem understand Intel’s rich set of AI offerings. Prior to joining Intel, she led product marketing at Hewlett Packard Enterprise, Mozilla and Yahoo, focused on developer and enterprise audiences. Julie holds a bachelor’s degree from MIT and a master’s degree from Stanford, both in Management Science.

Photo of Roger Chen
Roger Chen

Roger Chen

Roger Chen is Co-Founder & CEO of Computable Labs, and he serves as Program Chair for the 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 the realm of data, machine learning, and robotics. Roger has a deep and hands-on history with technology. Before startups and venture capital, he was an engineer at Oracle, EMC, and Vicor. He also developed novel nanoscale and quantum optics technology as a Ph.D. researcher at UC Berkeley. Roger holds a BS from Boston University and a Ph.D. from UC Berkeley, both in electrical engineering.

Honorary Program Chairs

Photo of Tim O'Reilly
Tim O'Reilly, @timoreilly

Tim O'Reilly

Tim O'Reilly has a history of convening conversations that reshape the industry. In 1998, he organized the meeting where the term "open source software" was agreed on and helped the business world understand its importance. In 2004, with the Web 2.0 Summit, he defined how Web 2.0 represented not only the resurgence of the Web after the dot-com bust, but a new model for the computer industry, based on big data, collective intelligence, and the Internet as a platform. In 2009, with the Gov 2.0 Summit, he framed a conversation about the modernization of government technology that has shaped policy and spawned initiatives at the federal, state, and local level and around the world. Tim has now turned his attention to the implications of the on-demand economy, AI, and other technologies that are transforming the nature of work and the future shape of the business world. He is the founder and CEO of O'Reilly Media and a partner at O'Reilly AlphaTech Ventures (OATV). He is also a founder and board member at Maker Media, which was spun out of O'Reilly Media in 2012, and a board member at Code for America, PeerJ, Civis Analytics, and POPVOX.

Photo of Peter Norvig
Peter Norvig

Peter Norvig

Peter Norvig is the Director of Research at Google Inc, where he has been since 2001. From 2002-2005 he was Director of Search Quality, which means he was the manager of record responsible for answering more queries than anyone else in the history of the world. He is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery and co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field (with 94% market share).

Previously he was the head of the Computational Sciences Division at NASA Ames Research Center, making him NASA's senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has served as an assistant professor at the University of Southern California and a research faculty member at the University of California at Berkeley Computer Science Department, from which he received a Ph.D. in 1986 and the distinguished alumni award in 2006. He has over fifty publications in Computer Science, concentrating on Artificial Intelligence, Natural Language Processing and Software Engineering, including the books Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX. He is also the author of the Gettysburg Powerpoint Presentation and the world's longest palindromic sentence.

Advisory Board and Program Committee

  • Roy Ben-Alta, Amazon
  • Paige Bailey, Google
  • David Beyer, Amplify Partners
  • Kari Briski, Nvidia
  • Yishay Carmiel, Avaya
  • Adam Cheyer, Viv
  • Beau Cronin, Data Guild
  • Kenneth Cukier, The Economist
  • Danielle Dean, Microsoft
  • Jana Eggers, Nara Logics
  • Rana El Kaliouby, Affectiva
  • Brady Forrest, Ignite Talks PBC
  • Siddha Ganju, Nvidia
  • Yufeng Guo, Google
  • Lisha Li, Amplify Partners
  • Sunil Mallya, Amazon
  • Gary Marcus, NYU
  • Eric Martel, Eidos-Montréal
  • Paco Nathan, Derwen.AI
  • Christopher Nguyen, Panasonic
  • Ben Recht, Berkeley
  • Evan Sparks, Determined AI
  • Ken Stanley, Uber AI and UCF
  • Mike Tung, Diffbot
  • Wee Hyong Tok, Microsoft
  • Marc Warner, ASI
  • Reid Williams, IDEO
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • H2O.ai
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

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