5G for Industrial IoT

whitePaper | January 23, 2023

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whitePaper | June 14, 2022

The 5G evolution starting with Release 18 is called 5G Advanced. This paper provides an overview of 5G Advanced to show the advantages of its technology components with regard to network performance and capabilities. Guidance is provided on which features to expect in 5G Advanced and how those features enhance and enrich the already deployed 5G networks.

whitePaper | August 11, 2023

IDC’s research demonstrates that enterprise organizations are prioritizing digital infrastructure (DX) resiliency as a foundational element of their IT strategy. Organizations are looking for richer levels of visibility, cross-platform control, advanced data management, and protection that spans the entire ecosystem, including public or private cloud, on premises, colocation facility, and edge. DX initiatives rely on data-driven insights to deliver competitive differentiation, increased customer engagement, streamlined business operations, increased staff productivity, and growth in revenue and profitability. IT infrastructure is one of the crucial pillars of DX. In fact, DX cannot succeed without IT transformation, aligned with business strategy to meet or exceed service-level objectives for data-driven insights. Because of this realization, organizations are now focused on managing outcomes instead of IT infrastructure and looking to vendors and partners to help reach this goal.

whitePaper | January 31, 2022

Security concerns remain a major barrier to IoT adoption for as many as 85% of IoT industry leaders1. Fraud is growing in this area, causing widespread agreement across the ecosystem that securing the IoT application is the only way to fully develop its business potential. The good news is the vast majority of attacks can be prevented – and the resilience of any IoT deployment significantly improved – with measures that are simple and cost-effective to implement.

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 | February 5, 2020

The Internet of Things (IoT) is a networked system of interconnected physical objects that have the capability of sharing data with each other and also with a cloud service for archiving and analysis. With IoT, data producing devices can easily publish data, and multiple consumer clients can receive that data from any location in the world.