Name: IOT, AI and Machine Learning
Start: 2018-05-23T17:00:00-07:00
End: 2018-05-23T21:00:00-07:00
Location: Intel Auditorium (Building SC12)

Register now for the May 23 Out of the Box Network Developer Meet Up - when presentations will focus on IoT, AI and Machine Learning. This will be an evening-only meet up. Join us for dinner at 5pm. The meet up will start at 6pm. We're still building the agenda so check back for updates.

Pre-register (http://www.cvent.com/d/5gqqz9/4W) to save some time at check-in and to be entered into the drawing to receive a Google Home* mini.

Sessions:
Are the first machine learning applications for network the most lucrative?
Speaker: Uri Elzer, CTO for the Data Center Network Solution Group (DNSG) of Intel’s Data Center Group

Session abstract: The exponential growth is network complexity is old news. More use cases, more realtime and on-demand, more component comprise each service as Telco moves to VM, and Containers. humans response time and humans ability to comprehend in real time these complex environments are challenged. Some urgent needs: optimized total cost of ownership, optimized power, best visibility/trace-ability, insights into network trends etc. what does ETSI ENI WG do to address these and other challenges? how does the new ML functionality interact with MANO? Orchestration? Infrastructure? when will it be available? what are the industry latest ML developments and more....

Title: Overview of Edge and IoT Networks for Federated Learning
Speaker: Murali Rangachari, Senior Staff in NFV Competency Center at Futurewei Technologies, Santa Clara, an R&D Center of Huawei,

Session Abstract: Ever growing need of Intelligent Systems evolves analytics and decision making into AI with Machine Learning as tools for knowledge assimilation. What is essential for ML is a form of data that has inherent information that can be translated to useful information (intelligence) for decision making. IoT is the key for intelligent systems as they collect data at every end point. They are like ends of neuron network in human body. And the data collected has to be refined for decision making as it traverses up to the brain (AI Cloud) – like lymph nodes we have Edge Clouds. We will explore in this short talk two aspects of such IoT infrastructure where you have lossy network for IoTs, gateway options for device data and how it can seamlessly integrate with Edge Cloud Networks. We will review such protocols as Wireless Mesh, programmable gateways and extension of overlays into the Cloud.

The agenda can be found at (http://www.cvent.com/d/5gqqz9/6X).

Cannot attend in person? Hook onto our live stream at the time of our meet up (link Below). You will miss out on great community, networking opportunity and our great Indian food, but you will at least not miss our great speakers...You can join the conversation online at slack #ootbnd to interact with us/our speakers or communicate via comments section of you tube. https://www.youtube.com/channel/UCtZr7k2vr80MWGIBRdO-lnQ

Michelle Holley

Sujata Tibrewala

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IOT, AI and Machine Learning

Intel Auditorium (Building SC12)

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