Industrial IoT: Scaling Systems Reliably and Securely

As the Internet of Things continues to transform businesses and entire industries, key enabling technologies must evolve to address the ever-increasing requirements for these systems. Of particular note is the trend of “fog computing”, an architectural design where key functions (typically executed in powerful cloud server infrastructure) are pushed towards the network edge with the goal of making intelligent decisions locally to avoid flooding Internet bandwidth with raw data.
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OTHER ON-DEMAND WEBINARS

Edge Management: Gaining value from IoT

Database Trend and Application

Enterprises are struggling to see value from their IoT implementations. Some of the key challenges with IoT implementations revolve around a simple task — getting real-time data from the edge devices. Challenges include network availability, latency, cost of roundtripping between the edge and the enterprise, monitoring etc.
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7 Must-Haves from an IIoT Platform — featuring Forrester

The right platform will accelerate your ROI in IIoT whether you’re connecting equipment to streamline manufacturing operations or to deliver new money-making digital services. But with hundreds of IoT platforms out there, which one is right for you? Forrester Consulting interviewed 10 senior stakeholders about what they look for in an IIoT platform. Are your requirements the same? Find out at this one-hour webinar.
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IoT and the Edge Panel Discussion

rti

As IoT continues to mature, as the amount of information being generated increases, companies must find better and more automated ways to process it. Sending everything to the cloud can increase costs associated with data delivery and processing.
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How to create a smarter world with eSIM

Learn what exactly is an eSIM, what are the eSIM connectivity implementation barriers and how it can change our understanding of IoT. Our presenters are discussing what can you expect from IoT eSIM providers, much like JT IoT and how the implementation process looks from our point of view.
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