How to successfully install and commission NB-IoT and LTE-M modules – ensuring time-to-revenue with IoT Field Testing

The availability of LTE network coverage in a customer location is not a true indication of a fully operational NB-IoT or LTE-M service. IoT devices are typically installed in remote locations such as basements and garages where the network signals are weak. Failure events and transmission repetitions often occur in poor conditions, quickly consuming the battery and even failing to connect.
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Spotlight

OTHER ON-DEMAND WEBINARS

Service Providers jump to the front of 5G and IoT: Global and SEA perspectives

5G is ready for business and deployment has started. It brings new market opportunities both in the consumer space and for enterprises. Our experts will share insights and reflections from both global and local perspective about the enabling technologies for 5G and IoT and also the emerging Service Provider business strategies.
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The connected world and IoT

Accenture

As of 2017, there are more than 10 billion connected things and a services market of USD$2 billion generated by the Internet of Things (IoT.) Five years from now, experts predict the one quarter of a million connected cars will be on the road. Gartner predicts a market of nearly US$300 billion from IoT products.
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A practical look at how to build & run IoT business logic

waylay.io

Without automation, IoT solutions offer little more than visualisation dashboards and offline data analysis. As the popular saying goes, nobody really wants a drill, they want a hole in the wall. Similarly, nobody is really interested in the data from the IoT devices, what they ultimately want is specific actions to be taken, that are of particular value to them.
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Using IoT and Machine Learning for Asset Management

Event 24

When small production platforms have backup equipment sitting around unused for long periods of time, it often leads to mechanical equipment failures that can cripple production for days or weeks on end. Thankfully, there’s help in the form of new technology. IOT and machine learning can be used to predict mechanical failures with enough lead time to get new equipment on-site before failure to eliminate unnecessary shut-in, and the ability to do this starts at the data layer.
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