Real-time data from remote machines

whitePaper | August 23, 2022

Growing demand for remote working solutions in light of the pandemic is bolstering the case for virtual desktop infrastructure (VDI) adoption. In this white paper, we discuss why VDI is best suited for today’s business environments, especially since remote work is poised to play a big role both now and in the “new normal” of a post-COVID-19 world. We discuss VDI’s main advantages, its shortcomings and what can be done to address them.

whitePaper | April 4, 2022

The deployment of Internet of Things (IoT) networks has rapidly increased over recent years – to connect homes, cities, farms, and many other industries. Today, these networks rely on connectivity solutions, such as LoRaWAN, operating in the ISM bands. Our experience from deployments in multiple countries has shown that such networks are bottlenecked by range and bandwidth.

whitePaper | December 13, 2021

Automation vendors and end-user industries have been investing in Industrial Internet of Things (IIoT), across their diverse applications, convinced with the view that IIoT is going to be the key driver for digital transformation.

whitePaper | July 4, 2023

Governments around the world are creating Internet of Things (IoT) security legislation and regulations designed to keep users safe in an increasingly connected world. Connectivity is good and, in fact, great but bad things can happen to people with unprotected or poorly protected IoT devices. Failing to meet government regulations or guidelines may lead to the inability to sell products in a region and thus to lost revenue. However, the regulations are constantly in a state of flux. This white paper provides updated background on what governments are suggesting or requiring as well as specific details on how to implement security defenses and obtain security certifications that can satisfy current and even future government requirements

whitePaper | May 23, 2021

The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?

whitePaper | May 24, 2022

Despite the best efforts of developers, embedded and IoT systems are usually deployed with bugs remaining in their code. A development team introduces an average of 120 bugs per 1,000 lines of code during development. Approximately 5 percent, or 6 bugs per 1,000 lines of code, typically remain in the shipped software.