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AGENDA

Days


Tracks

Monday, October 01, 2018
Tuesday, October 02, 2018
11:00am
Tuesday - 10/2/18
Industry Track (Grand Peninsula Ballroom E)
Accelerating Autonomy with Fog Computing
IN-01
CEO Real-Time Innovations (RTI)
In the last century, transportation, medical, power and industrial systems were built from individual devices, some smart, but working independently. The smart machine era will change all that. Over the next few years, the amazing advancement in computing power and networking will transform every industry on the planet. Individual smart devices will merge into fog-computing autonomous systems. All these applications must connect "functional" artificial intelligence to real-time networking. That drives new unique computing requirements. Most importantly, autonomous systems must work as decoupled applications but still intimately share information. This talk will examine the new “data-centric” fog architectures that balance these demands, thus accelerating autonomous designs. This talk will highlight early autonomy applications across several industries from energy microgrids to the retrofit architecture for the Grand Coulee Dam, the largest power plant on the continent, to healthcare to automotive.
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  Industry Track
  Innovation Track
  Technology Track
11:45am
Tuesday - 10/2/18
Industry Track (Grand Peninsula Ballroom E)
Use Cases of Fog Computing (Automotive, Supply Chain, Manufacturing)
IN-02
VP of Product Management Nebbiolo Technologies
This session features use case presentations on automotive, supply chain management, manufacturing in fog environments.
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  Industry Track
  Innovation Track
  Technology Track
1:30pm
Tuesday - 10/2/18
Industry Track (Grand Peninsula Ballroom E)
Machine Learning in Fog Environments
IN-03
Chief Technology Officer FogHorn Systems
Fog computing brings a groundbreaking dimension to Industrial IoT by embedding edge intelligence locally, as close to the source of streaming sensor data as possible. This session will discuss how processing data at the edge can help with machine learning and AI capabilities in order to maximize real time insights and rapidly implement machine learning models to adjust to constantly changing operating conditions.
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  Industry Track
  Innovation Track
  Technology Track
2:15pm
Tuesday - 10/2/18
Industry Track (Grand Peninsula Ballroom E)
Streaming Fog: Two Case Studies using 5G and Fog for Real-time Video
IN-04
Director, IoT and Embedded Arm Head of the SONM development team SONM
At today’s sporting events, fans are demanding high-quality, real-time video on their smartphones and tablets. Events can take place in a stadium, across multiple venues (like the Olympics) or outdoors. Even outdoor events vary—from a fixed track to races that start in one location and end many kilometers – even days – away. Throughout these areas, broadcasters use High-Definition (HD) cameras to live stream coverage. These cameras generate massive amounts of video data. Fog computing keeps the video processing local, eliminating latency and congestion issues and eliminating the need to provision expensive backhaul links. With fog, processed and filtered video can be sent to the cloud for long-term storage. This session will feature an in depth case study of this use case AND Fog computing is used in video rendering on demand, focusing on a use case of a mining company.
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  Industry Track
  Innovation Track
  Technology Track
4:15pm
Tuesday - 10/2/18
Industry Track (Grand Peninsula Ballroom E)
A Reflection on 40 Years of IT, How We Got Here, & Why Edge Computing is Absolutely Necessary
IN-06
Co-Founder, Principal Architect RUMBLE, Microsoft
  Industry Track
  Innovation Track
  Technology Track
Wednesday, October 03, 2018
11:00am
Wednesday - 10/3/18
Industry Track (Grand Peninsula Ballroom E)
From the Plant Floor to Board Room: Industrial Control Systems & IIoT Cybersecurity
IN-07
CEO aDolus Inc Sr. Cybersecurity Manager CSA Group Innovation Team VP Strategic Alliances BlackRidge Technology Chief Innovation Officer IIoT World
This panel of security experts will discuss how fog and edge systems can help protect manufacturing environments, from legacy to the latest equipment.
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  Industry Track
  Innovation Track
  Technology Track
11:45am
Wednesday - 10/3/18
Industry Track (Grand Peninsula Ballroom E)
Fog/Edge in the Age of 5g
IN-08
Distinguished Engineer Cisco
The Network Infrastructure will experience a major transformation with 5G and in return will open the door for new innovations in content delivery and network Fog/Edge orchestration. In this session we will look at various technologies for orchestration and management of Fog/Edge nodes for enabling successful 5G ecosystem deployments and the next generation network infrastructure.
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  Industry Track
  Innovation Track
  Technology Track
1:30pm
Wednesday - 10/3/18
Industry Track (Grand Peninsula Ballroom E)
Accelerating Fog Design: Tips to get Started
IN-05
Senior Technical Lead and Platform Architect Cisco
As fog moves from architecture to implementation, there is a need for practical advice on how to design and deploy fog networks and elements. This talk is a rapid how-to session of many practical tips and tricks to help accelerate fog deployment. Each of the topics will be given enough time to ensure the audience has an understanding of the challenges involved in fog design, and provide techniques and alternatives that can be helpful to address them. Topic areas include: Vertical markets, Applications/Use cases, Architecture, Partitioning, Component level, Node level, Network Level, Capacity/Performance/Reliability/Scalability, Installation, Operation/Management, Ecosystem, Time, and Economics.
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  Industry Track
  Innovation Track
  Technology Track
2:15pm
Wednesday - 10/3/18
Industry Track (Grand Peninsula Ballroom E)
Drones, Radio Frequency and Edge Computing: Autonomy in the Field
IN-10
Chief Marketing Officer FreeWave Technologies
In this session will view multiple use cases of drones in factory automation, remote monitoring, video streaming and command and control. Drones offer reliable, resilient data transfer, not only to the central data repository, be it the cloud or a data center, but also across the sensor network on-premise. It will include: How the use of radio frequency technology on the factory floor connects machine-to-machine communication on the production line to optimize operations, reduce labor time, and predict maintenance needs; How remote monitoring of assets in an oil field, agriculture field or environmental monitoring station can accurately and reliably transmit key data and analytics for real-time reporting, proactive maintenance and command and control; How the use of video streaming with drones monitors high security borders, remote locations or agricultural fields in real-time, with the power of edge computing for facial recognition and mission-critical decisions.
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  Industry Track
  Innovation Track
  Technology Track

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