Presented By O’Reilly and Intel AI
Put AI to work
April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

About the AI Conference

Why attend | Who you'll meet | The conference experience | Kudos | Program chairs | Program Committee

Artificial Intelligence Conference

AI is finally moving from being the province of university labs to being a critical part of the software developer's toolkit and a focus for mainstream companies.  There is a growing—and urgent—need for information on applied AI, as opposed to the kind of research presented at academic conferences.

That's why we created the Artificial Intelligence Conference.

The AI Conference is where cutting-edge science meets new business implementation. It's a deep dive into emerging AI techniques and technologies with a focus on how to use it in real-world implementations. You'll dissect case studies, delve into the latest research, learn how to implement AI in your projects, share emerging best practices in intelligence engineering and applications, uncover AI's limitations and untapped opportunities and anticipate how AI will change the business landscape.

On June 29, 2017, O'Reilly and Intel AI announced a partnership to co-present the Artificial Intelligence Conference. Read more »

Why you should attend

Artificial Intelligence Conference

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 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

Who you'll meet

Artificial Intelligence Conference Artificial Intelligence Conference


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


  • 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

The Artificial Intelligence Conference experience

Artificial Intelligence Conference

The Artificial Intelligence 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

What people are saying about the AI Conference

AI Conference NY is the best conference I've been to in forever!"
–Kristian Hammond
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
Thanks for a great conference! Looking forward to next year's!"
–April Wensel‏
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

Program Chairs

Ben Lorica
(@bigdata) 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.

Naveen Rao
is the vice president and general manager of artificial intelligence solutions at Intel. Naveen's fascination with computation in synthetic and neural systems began around age 9 when he began learning about circuits that store information and encountered the AI themes prevalent in sci-fi at the time. He went on to study electrical engineering and computer science at Duke, but continued to stay in touch with biology by modeling neuromorphic circuits as a senior project. After studying computer architecture at Stanford, Naveen spent the next 10 years designing novel processors at Sun Microsystems and Teragen, specialized chips for wireless DSP at Caly Networks, video content delivery at Kealia, Inc., and video compression at W&W Comms. After a stint in finance doing algorithmic trading optimization at ITG, Naveen was part of the Qualcomm's neuromorphic research group leading the effort on motor control and doing business development. Naveen was the founder and CEO of Nervana (acquired by Intel), which brings together engineering disciplines and neural computational paradigms to evolve the state of the art and make machines smarter. Naveen holds a PhD in neuroscience from Brown, where he studied neural computation and how it relates to neural prosthetics in the lab of John Donoghue.

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 he worked in venture capital, he was an engineer at Oracle, EMC, and Vicor and developed novel nanotechnology 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.

Jason Dai (Intel)Jason Dai (Intel)
is the chief architect of Big Data technologies at Intel. Prior to that, he was a principal architect at Microsoft, responsible for building a large-scale cloud and Big Data platform that powers some of the largest internet services in the company. Before joining Microsoft, he was an engineering director and principal engineer at Intel, responsible for advanced research and development of Big Data platforms, including a joint-development with UC Berkeley on the next generation of Big Data technologies (e.g., Apache Spark stack), and building next-gen Big Data platforms for some of the largest websites in the world. Jason is an internationally recognized expert on Big Data, cloud, parallel computing, and compiler technologies.

Honorary Program Chairs

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.

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.

Program Committee

Jike Chong (Acorns)Jike Chong (Acorns) is the chief data scientist at Acorns, the leading microinvestment app in US with over two million verified investors, which uses economic psychology to help the up-and-coming save and invest for a better financial future. Previously, Jike was the chief data scientist at Yirendai, an online P2P lending platform with more than $7B loans originated and the first of its kind from China to go public on NYSE; established and headed the data science division at Simply Hired, a leading job search engine in Silicon Valley; advised the Obama administration on using AI to reducing unemployment; and led quantitative risk analytics at Silver Lake Kraftwerk, where he was responsible for applying big data techniques to risk analysis of venture investment. Jike is also an adjunct professor and PhD advisor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, where he established the CUDA Research Center and CUDA Teaching Center, which focus on the application of GPUs for machine learning. Recently, he also developed and taught a new graduate-level course on machine learning for internet finance at Tsinghua University in Beijing, China, where he is serving as an adjunct professor. He holds bachelor’s and master’s degrees in electrical and computer engineering from Carnegie Mellon University and a PhD from the University of California, Berkeley. He holds 10 patents (six granted, four pending).

Chiu Man Ho (OPPO)Dr. Chiu Man Ho (OPPO) is currently a Principal AI Architect at OPPO US R&D. Before that, he was a Senior Staff Data Scientist at Huawei US R&D. He is leading a team to work on deep learning, GAN, reinforcement learning. He is highly interested in AI research and its commercialization. Dr. Ho was formerly trained as a theoretical physicist, with 45+ publications in high energy theory and cosmology. He is particularly good at constructing mathematically economical models to explain and predict experimental data. He has served 16 well-known journals as a referee 40+ times. His projects include machine translation, chatbots, apps recommendation, object detection, image captioning, video analysis, OCR, face hallucination, resource management, and anomaly detection. In the meantime, he is also designing deep learning models to identify the genes responsible for heritable diseases from genomics data.

Shengsheng (Shane) Huang (Intel)Shengsheng (Shane) Huang (Intel) is a software architect at Intel leading the development of large-scale analytical applications and infrastructure on Spark in Intel, as well as an Apache Spark committer and PMC member. Shane's area of focus is distributed machine learning, especially deep (convolutional) neural networks. Previously at NUS (the National University of Singapore), her research interests are large-scale vision data analysis and statistical machine learning. Before that, she worked at Intel as lead engineer on distributed big data frameworks (e.g., Hadoop and Spark) for over six years.

Shaoshan Liu (PerceptIn)Shaoshan Liu (PerceptIn) is chairman and co-founder of PerceptIn, a company working on developing a next-generation robotics platform. Previously, he worked on autonomous driving and deep learning infrastructure at Baidu USA. Shaoshan holds a PhD in computer engineering from the University of California, Irvine.

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