December 5, 2019

146 words 1 min read

Progress of delivering real AI workloads

Progress of delivering real AI workloads

Progress in enterprise AI workloads, particularly in deep learning, big data, and computing infrastructure, will profoundly impact productivity for users. XD Huang outlines enterprise AI examples to illustrate the collective efforts and exciting opportunities modern AI technologies are making possible.
Talk Title Progress of delivering real AI workloads
Speakers Xuedong (XD) Huang (Microsoft Research)
Conference O’Reilly Artificial Intelligence Conference
Conf Tag
Location New York, New York
Date September 26-27, 2016
URL Talk Page
Slides Talk Slides
Video

Progress in enterprise AI workloads, particularly in deep learning, big data, and computing infrastructure, will profoundly impact productivity for users. At Microsoft, many demanding AI workloads are being created with the deep learning toolkit CNTK—with real enterprise applications that range from the Hololens to supporting Microsoft’s customer support chatbots. XD Huang outlines enterprise AI examples to illustrate the collective efforts and exciting opportunities modern AI technologies are making possible.

microsoft chatbot infrastructure ai big data deep learning
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