OT has two simple rules. If it’s running leave it alone, if its not, get it running. Those two rules do not sound like innovation is welcome. Yet IoT is delivering on Industrial 4.0 by increasing the data coming from sensors and enabling the SoftPLCs. How does smart manufacturing take us beyond measuring uptime and bring us to a new level of efficiency and production?
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One for the earliest and most diverse IoT markets is asset tracking. Whether you are tracking scooters or construction cranes, the principles are the same. Know where your products are and know where they are going. What are features that every Asset Tracking system needs? What is different ways location can be detected? What innovation is occurring?
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Managing suppliers and distributors requires a chain of trust to be established. Keeping track of pallets, rail cars, shipping containers, and trailers is one way to trust but verify. Today using the combination of block chain and IoT is another way to ensure transfers of ownership is complete. How is the technology changing the capabilities to deliver the goods?
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Lots of changes are taking place in the way buildings are connected and managed. LED lighting, HVAC systems, personal emergency response systems, and surveillance systems are part of the revolution. In addition, there are changes in connectivity that should be noted. Bluetooth 5, Wi-Fi 6 and Private LTE are all bringing better security and bandwidth. Where should a Facilities Manager Start? What improves operations? Do all these opportunities have an RoI? What are the benefits to the employees?
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Many cities have been known for their industries, but their history is remembered by their football team names (e.g. Green Bay Packers and the Pittsburgh Steelers). Is now the time for collaboration between the cities and industry? What are the synergies? How can the cities support IIoT? What can they do specifically with infrastructure to spur development?
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All these sensors being added to the information is making a big data lake. For a human, is this lake navigable? Can ML turn big data into useful data? How will machine learning give enterprises better insight? How does ML influence edge intelligence in industrial systems?
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As 5G continues to grow as a powerful enabler of technologies, the number of vertical-market use cases continues to increase and produce more practical applications, including robotics, artificial intelligence, machine learning and big data that will contribute to analytics. These IoT applications will all need different requirements in terms of data capacity, speed, latency, reliability, coverage, location accuracy, and, most importantly, security. In this session, we will address these challenges by examining the network benefits of 5G for the IoT, including deployment considerations, building management issues, and security. Specifically, we will focus on how 5G will change how we think about connectivity for facilities, enterprise, and industrial applications.
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For many companies industrial espionage is a real concern, for others the employees may bring in a virus accidentally. Regardless of the root cause, industrial manufacturers need to be prepared. While traditional networks were considered closed systems, today’s connected industrial capabilities must contend with brute force attacks. Hackers can use ML to support their attacks, so it’s clear that companies need to fight fire with fire. What security best practices will take us getting beyond identity and auditing?
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As a human being connected to Internet through Facebook, LinkedIn, Twitter and phone applications, an understanding of my lifestyle can be seen. Likewise, a digital twin can follow the physical reality of assets and products to produce an image of IoT systems. What are the use cases for digital twins? Are there concerns about how digital twins can be used?
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