Swedish company Imagimob will launch SensorBeat Edge at MWC in Barcelona. It is a real time AI system for proffesional users. In manufacturing operations the system can use multiple data sources to more efficiently predict downtime. In healthcare both motion and biometric sensors can be analysed simultaneously.
Using AI on the edge has a number of advantages compared to having AI in the cloud. When the system detects a problem it can immediately act. This means a system using Edge AI can be autonomous. This is especially important for low power devices since it can save battery power, reduce the data traffic and lower costs.
SensorBeat Edge can work in real time with multiple data sources, it learns quickly and requires only small datasets to learn and classify. The software has a tiny footprint and runs on ultra low power processors, mid-range and high-end devices. It is independent of hardware and type of communication. Using SensorBeat Edge together with Low Power Wide Area Networks (LPWAN) would be an ideal fit, since they share the same qualities that are important for IoT networks, low power and low cost devices.
Lenovo no longer sees artificial intelligence merely as a software layer running in the background of a PC, but as an active collaborator capable of taking on parts of everyday work and linking the digital and physical worlds.
Ericsson Nikola Tesla’s cooperation with Hrvatski Telekom and Crnogorski Telekom shows how the telecom market is moving beyond the traditional focus on coverage and capacity and toward a much broader question: how to turn the network into a platform for new industrial services, critical infrastructure, and security use cases.
At this year’s Mobile World Congress, artificial intelligence was no longer just a major technology theme. It was presented as a concrete operational tool moving directly into the heart of the telecom industry.
