Devices are everywhere but they all need maintenance. Maintaining household gadgets such as laptops, printers and smart watches has become easier over the years as update technology evolves. Today, users do not have to even think about updates – they can seamlessly take place in the background or overnight. These updates take place over-the-air (OTA) and have revolutionised the way that we keep hardware, software or firmware maintained.

Manufacturing and industrial organizations are firmly in the era of Industry 4.0. The third wave of industrial revolution, which saw the introduction of computers, robots, and automation in industrial processes, has given way to instrumentation, and the use of advanced technologies, like machine learning (ML) and artificial intelligence (AI), using both raw and trained data, to enhance industrial processes.

In industrial operations, time is money. The more efficient processes and machinery are, the better it is for business. Providing proactive monitoring and maintenance of industrial machines, however, is not an easy task. This is especially true as these machines become increasingly complex and distributed. It’s not possible to have maintenance crews on site for every asset in a distributed system. The edge is where the physical world meets the digital world.

Internet of Things (IoT) deployments continue to expand globally, revolutionising the way businesses operate by boosting efficiency and enhancing experiences for customers and employees. But as is the case with many innovations, growth has outpaced security considerations resulting in unforeseen problems emerging as bad actors seek to exploit new vulnerabilities.

For a very long time, businesses in various industries have been using smart sensors. However, with the development of the Internet of Things (IoT), their significance has increased. Sensors represent the beginning of a data collection chain that, when processed by IoT platforms, generates essential insights for assertive decision-making and even for developing new business ideas. Generally, a smart sensor has three main components: This technology is already used in many countries.

Canonical today announced the first Ubuntu images optimised for MediaTek’s Genio 1200 System on Chip (SoC). The solution spurs AI innovation for enterprises, startups, emerging brands and leading ODMs in diverse markets.

Tracealyzer® version 4.7 in now available for download and evaluation. This is a big feature update with several new capabilities and major improvements.