O'Reilly Artificial Intelligence Conference 2017 - New York, New York

What grabbed the attention of the thousands who attended AI New York 2017? The speakers: more than 120 of the world's best from the fields of deep learning, machine learning, natural language processing, and the cloud. This group included more than 40 PhDs and 20 founders of early stage AI companies, the heads of AI related research at some of the world's most prestigious universities (MIT, Carnegie Mellon, UC Berkeley, University of Cambridge, NYU, George Washington, Stanford, Johns Hopkins, etc.), and the leaders of AI product development from many of the world's top technology companies (IBM, Intel, Google, Amazon, Facebook, NVIDIA, Microsoft, Salesforce, SAP, etc.). This video compilation is a record of the 90+ presentations made by this extraordinary group. It's packed with case studies and tutorials that demonstrate AI's 2017 leap from the lab to the "real" world. AI is here and it has been put to work. Here is a sample of what you'll find in the compilation:

• Inspiring and illuminating keynotes from the top innovators in applied AI and intelligence engineering, including Google's Peter Norvig, IBM Watson's Damion Heredia, Carnegie Mellon's Tuomas Sandholm, NVIDIA's Jim McHugh, Elemental Cognition's David Ferrucci, UC Berkeley's Anca Dragan, and more.
• Eight tutorials, including MIT's Vikash Mansinghka survey of the emerging field of probabilistic programming; Microsoft's Anusua Trivedi, Barbara Stortz, and Patrick Buehler’s examination of scalable deep learning using Microsoft's Cognitive Toolkit; and Narrative Science's Kristian Hammond’s (founder of the University of Chicago’s AI Lab) revelations on the best ways to evaluate emerging AI strategies and vendors.
• 40+ sessions on the tools, frameworks, algorithms, and approaches used to build practical AI technology, including Eric Greene (Wells Fargo Digital Innovation Labs) on deep learning and predictive payments; Rana el Kaliouby (Affectiva) on real life applications of artificial emotional intelligence; Jana Eggers (Nara Logics) on how to translate abstract AI into real numbers for business; Matt Shobe (Mighty AI) on building training data for autonomous driving; Jan Neumann (Comcast) on how AI powers the Comcast X1 voice interface; Pau Carré (Gilt) on deep learning in the fashion industry; Paco Nathan (O'Reilly Media) on the use of AI in publishing; and Ron Bodkin (Teradata) and Nadeem Gulzar (Danske Bank Group) on using AI to fight financial fraud at Danske Bank.
• 25+ sessions on deep learning, including Richard Socher (Salesforce) on the limits of deep learning; Risto Miikkulainen (Sentient.ai) on using AI to build AI; Guy Ernest (Amazon Web Services) on scalable deep learning using Apache MXNet; Soumith Chintala (Facebook) on dynamic deep learning's paradigm shift in AI research and tools; and Joseph Bradley and Xiangrui Meng (Databricks) on integrating deep learning libraries with Apache Spark.
• 20+ sessions on machine learning, including Josh Tenenbaum (MIT) on building machines that learn and think like people; Jason Laska (Clara Labs, Inc.) on strategies for integrating people and machine learning in online systems; and Matt Zeiler (Clarifai) on the risks and hidden costs of machine-learning technical debt.
• 15+ sessions on natural language, including Jonathan Mugan (DeepGrammar) on how to add meaning to natural language processing; Yishay Carmiel (Spoken Communications) on developing conversational AI at large scale; and Kristian Hammond (Narrative Science) on advanced natural language generation.
• 9 sessions on AI and the cloud, including Reza Zadeh (Stanford) on scaling computer vision in the cloud, and Yonghua Lin (IBM Research) on AI Vision and how it enables deep learning-based visual analysis in edge and cloud environments.
• Multiple sessions on the impact of AI on business and society, including Chuck Howell and Lashon Booker (MITRE) on "Fairness Cases" as an accelerant and enabler for AI adoption, and Katy George's (McKinsey & Company) talk on whether or not AI will automate jobs faster than we create them.

This video compilation offers you a great way to see the sessions you missed—or to revisit the ones you attended. Just download the video to view whatever you choose at your own pace.