| Sumario: | 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 d...
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