Nowhere does IoT have more applications and stricter requirements that in the auto industry. With mapping technology enablement being integrated into GPS, driver assistance, entertainment and diagnostics, we have more sensors and computing being packed into a single space. With all the complexity, the industry sees their implementation as a competitive advantage. This panel looks for the best practices that the industry can agree upon to implement, and the innovation that keeps them apart.
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IoT and edge intelligence are offering deeper insights into system processes. This deep intelligence gathering can offer tremendous customer value, but also can increase system vulnerabilities. These known vulnerabilities have led to a series of laws, mandates, standards and customer demands, all requiring security in IoT devices. This session will discuss some of the most advanced cyber defense technologies that are already in use in IoT systems, including True Random Entropy, Micro-segmentation, AI and Visualization. Larry Karisny, Director of ProjectSafety.org, will show how these advanced technologies can be used.
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Today using IoT to provide transparency in the supply chain will benefit cargo owners and shippers around the world. How is the IoT technology improving the way that cargo is monitored and protected worldwide? What is the importance of having IoT capabilities to communicate from inside maritime and intermodal containers?
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In this session, Christian Schulze of Advantech’s IIoT Group will sharing the company’s unique recipes for Brownfield IIoT and address several key challenges in the Brownfield IIoT space. At the same time, he will give attendees a taste of actual business value of the space while looking at Edge Computing Platforms For Industrial IoT and talking about the state of manufacturing.
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Netapp will discuss the impact that AI based video inferencing is having on IOT and Computer Vision applications. Data has Gravity! Especially the huge amounts of video data coming from a growing number of cameras in IOT settings and other environment. AI at Edge solutions (AIOT) use AI computer vision to inference the video data and determine “events” that should be saved and applied to the enterprise to monetize this data. Smart Edge solutions will be driving this change.
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As the edge becomes more intelligent, the communication strategy becomes one of enabling peers to share and react intelligently. These networks require additional design for security and analytics. What are the security risks? What are the advantages of near real-time collective analytics?
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Security is the topic that everyone complains about, but no one listens to the solutions. This session is looking to change that by looking at the requirements. How can advances in machine learning change the capabilities of detection, command and control.
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Being Smart is about more than access to and collection of Data. To truly reach Smart City status, municipalities must leverage analytics to make its volumes of data actionable and lead to improved operations and a happier, more invested citizenry.
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