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Machine Learning and Analytics – All in Your Pocket?
Hema Nookala posted on April 04, 2019 |
Foghorn Systems, a company focused on transforming streamed data into predictive and analytical insights has recently brought real-time AI capabilities to battery-powered devices through their new product, Lightning mobile, specifically for industrial mobile devices.
The IoT technology focuses on machine-to-machine communication and is capable of being used in both the consumer and industrial realms. The Industrial Internet of Things best refers to a framework where a large number of devices or industrial machines are connected and synchronized through software that reduces human intervention for the highest level of automation possible. The idea behind this is with the reduction of human error and manual labour we can see an increase in overall manufacturing efficiency and a cost reduction. Additional benefits include being able to collect large amounts of data that can be collected in a meaningful way.
Lightning Mobile allows for field professionals to make use of real-time analytics, machine learning and artificial intelligence on mobile devices, without needing to connect through the cloud. This creates a new type of edge intelligence, with software makes it easy to build and market solutions specifically for devices that are not location restricted. The intelligent edge is defined as an expanding set of systems that are connected and can gather and analyze data for the users. The users receive real-time insights delivered by applications designed to be aware of their usage. Additional to the software is a support system to deal with the high-volume deployment of the devices.
The biggest draw for Foghorn customers is the capability of using this type of real-time analytics within the field without being restricted by fixed-position devices. By accessing this sort of data within the palm of our hands, it opens up potential for new use cases for IoT in both industrial and commercial settings. The app supports and efficiently processes digital, audio and video from the phone and provides a customer friendly view of the specified insights.
Potential use cases for real-time analytics through the mobile phone include next-generation barcode scanners, portable factory environmental monitors, manufacturing using smart devices and advanced fleet applications, as suggested by Foghorn CTO, Sastry Malladi.
If you’re interested in learning more about how the Internet of Things can change our lives as consumers, click here. If you are interested in the use of Industrial Internet of Things for the factory, click here.
Credit: Google News