Wireless Communication Standards for the IoT

whitePaper | May 1, 2022

For Years, testing methodologies have focused on individual elements (Silos) of an organized, connected system. Testing is getting performed in isolation for front-end, back-end and field devices. The result – even though an individual element may work well, the chain of connected system may still appear to be broken due to flaws in integration points.

whitePaper | December 27, 2019

Industry 4.0 ideals challenge supply chains to deliver advanced capabilities beyond those inherent in typical operating functions. Emerging digital technologies are enabling processes, partners, products and services to work harmoniously to enhance today’s highly interconnected and networked supply chain.

whitePaper | July 28, 2023

According to Counterpoint Research, the 5G+Wi-Fi 7 market will see cumulative shipments of over 7 billion devices through 2027 and grow at more than 100% annually between now and 2027 driven by leading applications including smartphones, gateways and routers, and the automotive sector.

whitePaper | August 14, 2023

Genomics is the study of the complete set of DNA in a person or other organism. DNA underpins a large proportion of an individual's health and disease status, therefore a genomic medicine approach is increasingly being applied in clinical settings.

whitePaper | April 14, 2022

A connected machine ecosystem comprises industrial assets interlinked via software and intelligent technologies, to drive smarter and more agile decisions. Industry 4.0, a revolution driven by advancements in technology, integrates physical operations with smart digital technologies (such as AI, industrial IoT, blockchain, connectivity infrastructure, etc.) to create a more holistic, interconnected.

whitePaper | July 11, 2023

Never before has the launch of a new technology so rapidly fired the imagination of enterprises and consumers alike. The arrival of ChatGPT in November 2022 showcased the potential of Generative AI powered by Large Language Models (LLMs) in addressing a vast array of new use cases. These use cases were previously unimaginable with conventional computing and analytical AI (now sometimes described as “traditional” or “classic” AI).