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Microsoft acquires ReFirm Labs to enhance IoT security
DAVID WESTON | June 2, 2021
Micronas (SIX Swiss Exchange: MASN) is known and recognized in the automotive and industrial business as a reliable global partner for intelligent, sensor-based system solutions.
Article | February 27, 2020
Artificial intelligence (AI) has existed in the public consciousness for decades. The (mostly) sentient machines playing the villains in Hollywood movies have never been realistic depictions of the technology, but they have left an impression, nonetheless. AI has proved as exciting to the layman as it is to the expert. Usually based in remote data centers, AI is capable of collecting and examining immense volumes of data, generating insights based on analytical algorithms. With varying degrees of autonomy, these capabilities have been put to use streamlining decision-making processes. While AI is often thought of as a product in its own right, it is increasingly intersecting with other parallel trends. Chief among these is the Internet of things (IoT), which enables previously isolated machines to “talk” to one another and, at the same time, generate data that makes new modes of operation a possibility.
Article | March 10, 2020
The Internet of Things has given rise to a host of new standards and protocols. Still more protocols that originally existed for other purposes but are well suited to new IoT applications have been adopted by device manufacturers and application creators. Though in some senses IoT devices are the same as any other internet-connected device, the bandwidth, power, and transmission distance constraints inherent in many IoT applications require novel new solutions to the fundamental actions of connectivity, data transfer, device discovery, and communication. This article will serve as a brief glossary of terms related to IoT communication protocols and standards. Click here for a more complete introduction to connectivity options.
Article | April 7, 2020
Customer touchpoints throughout the automotive sales cycle are prime candidates for IoT innovation. Across the board, the data derived from these IoT applications have the capability to provide insights and actionable outcomes which can significantly improve the customer experience. When a customer arrives at a dealership, it may be difficult for the dealer to know if they have what the customer is looking for. For instance, a customer might be coming in to see a particular vehicle, test-drive a car they’ve already seen, or to casually browse their options. Without any data behavior on the customer beforehand, sales personnel or the dealership may not be properly equipped to handle the customer’s request. Perhaps a requested car is no longer on the main show floor for immediate display but instead buried somewhere in a backlot. Maybe another car that was requested for a test drive may not yet be properly serviced for operation. These are only a few of the challenges associated with automotive sales that IoT is capable of helping to improve.
Article | April 6, 2020
Scaling Industrial IoT (IIoT) solutions requires a DevOps organization that can manage increased software and hardware complexity in terms of capability, capacity and footprint. DevOps is derived from Development and Operations and is one of the buzz words for ICT companies. Often it is the amalgamation of Software Developers from R&D and senior engineers from Operations into a new organization. Startups are faced with the challenge of how to quickly create a functioning DevOps organization that can scale with rapid growth. In this article, we will deal with the keys for success to scale software solutions with using an example of an Industrial IoT solution. We will look at how DevOps should function and discuss the important principles for software development, tools and operations.
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