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.
Telecom operators approach AI from two directions: as providers of infrastructure for the digital transformation of other industries and as organisations embedding AI into their own processes. A1 Hrvatska has moved from prototypes to concrete products, from customer support to sovereign European cloud services. Daniel Šimić says workforce profiles are also changing, with fast learning, customer understanding and adaptability becoming more important.
Burra was created as a platform for consolidating IT services companies in Southeast Europe, with a commercial focus on Western Europe and the United States. Its first members, Devōt, Tacta and CoreLine, continue to run their existing businesses while integration is planned gradually, primarily through new projects. Sven Marušić says the aim is not to turn founders into corporate employees, but to build a larger organisation in which they remain shareholders and drivers of growth.
Telecom operators are no longer using AI only for network optimisation and routine operations. They are applying it to faster product development and customer conversations. Matija Ražem says AI enables prototypes in hours, quicker market testing, and automation of many standard support questions. The next step may be a world where personal digital agents interact with agents from telecoms, banks and other large organisations.
