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.
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:
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:
(@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.
Julie Shin Choi
is head of marketing for AI at Intel, where she is responsible for marketing a portfolio of hardware and software products for building end-to-end AI solutions at the edge, data center, network, and cloud. Previously, Julie led product marketing at Hewlett Packard Enterprise, Mozilla, and Yahoo, focused on developer and enterprise audiences. She has produced over 50 developer conferences and hackathons, including SheCodes, a one-day conference for women technologists featuring Google, Facebook, Yahoo, Mozilla, Twitter, GitHub, Hackbright, Women Who Code, and others. Julie holds a bachelor's degree from MIT and a master's degree from Stanford, both in management science.
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.
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.
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.
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.
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