Wireless M2M Key factors for a successful deployment strategy

whitePaper | March 22, 2022

There is no denying that the COVID-19 pandemic accelerated innovation and changed the way institutions now approach teaching, learning, working and research. While technology has played a growing and supporting role in student engagement and enabling teachers and administrative staff to take advantage of the very latest resources, it has now taken the lead role and provided many more opportunities for students, teachers and staff to succeed.

whitePaper | December 20, 2022

Explore uses of WiFi (6/6E/7) capabilities for Industrial IOT (IIOT) applications Define and validate critical KPIs (latency, reliability, mobility, etc Field trials of WiFi6E IIOT use-cases in progress (stand-alone & 5G/Wi-Fi convergence)

whitePaper | November 1, 2019

The Internet of Things (IoT) is transforming businesses and peoples’ lives, and will continue to ignite innovations in the future. It is expected that we will progress to tens of billions of connected devices globally over the next decade1 that will generate multi-trillion dollars of economic value2 across many markets forming the foundation of a totally interconnected world—or the Internet of Everything.

whitePaper | December 7, 2021

Achieving success with the Internet of Things (IoT)requires a lot more than just selecting the right technology. This helpful guide tackles the aspects of IoT implementation that companies wrestle with the most, such as creating a strong business case, managing security requirements, and identifying the top requirements of a successful system. We also take a deep dive into the most common challenges that early IoT adopters have encountered—from budget constraints to cultural resistance to change—with advice on how to overcome these challenges to obtain real and tangible benefits.

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 | October 3, 2022

This paper is intended to introduce the definition of a Data Fabric solution from a business perspective, the technical capabilities required to instantiate the solution, and a reference architecture representative of the solution.