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Open Networking Summit 2017
April 3-6, 2017 - Santa Clara Convention Center

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Wednesday, April 5 • 10:30am - 11:20am
Building an Intelligent Network Operating System Using Hierarchical Temporal Memory - Raghuram Parvataneni, Verizon

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SDN and NFV are impacting the way we see our networks like never before. On the other hand due to the IoT and increased data consumption there is a constant rise in network dynamics which is making the process of creating completely automated network very difficult. In this presentation, Raghuram will discuss the concepts of Machine learning, Deep learning and their role in creating intelligent networks. Raghuram will also introduce a framework HTM (Hierarchical temporal memory) which models some of the structural and algorithmic properties of the Human neocortex. Human brains understand and make sense of continuous and real-time data because of the neocortex. He will discuss how the algorithms based on HTM framework which mimic the Human brain`s neocortex`s functionality can be applied to develop intelligent network software.The advantages of HTM over Deep leaning will be discussed.


Raghuram Parvataneni

Specialist, Verizon
Currently working with Verizon as SDN/NFV specialist. Worked with UK based SDN startup companies earlier. Working in this domain for past 4 years. I have a masters degree in computer networks and information security. Currently working on projects related to Artificial intelligence, SD-WAN and Packet optical networks. Previous Speaking experience: Participated in SDN solution showcase at Open Networking summit 2015.

Wednesday April 5, 2017 10:30am - 11:20am
Grand Ballroom F
  • Experience Level Any