IoT Vision for the Future

whitePaper | December 30, 2019

Our mission is to design and demonstrate an Industrial Internet of Things (IIoT). We will develop the guidance needed to securely connect and profitably deploy intelligent systems across devices, edge, and cloud.

whitePaper | February 12, 2020

Small and medium sized enterprises (SMEs) in the manufacturing sector are being left behind in the Fourth Industrial Revolution. This worrying trend is exacerbating economic inequality, stifling opportunities for social mobility and dragging down global industrial productivity. To benefit from the technological advancements of the Fourth Industrial Revolution, SMEs will need to overcome a range of challenges including a dearth of skilled employees, lack of access to capital and unclear returns on investment, a need to revamp their firm’s infrastructure and processes, a need to update information technology and operational technology, and navigate a nascent technology landscape that is currently poised to serve larger companies.

whitePaper | August 5, 2021

There has never been so much compute power available in IoT devices - now is the time to be designing and deploying true intelligence in IoT endpoints. Devices which are aware of their environment are capable of adding huge value to the data they collect and the services which they enable. This paper explores how new and emerging technology can enable your devices to see, hear and feel what is going on, interpret what they sense, take autonomous actions and generate real, trusted, valued data for the cloud. Recent developments in hardware and software will enable a step change in the capability of resource-constrained endpoint platforms, allowing developers to build vision, voice and vibration capability, coupled with genuine intelligence at the endpoint.

whitePaper | June 13, 2023

6G requires setting achievable goals and continuous communication with the market and consumers.  Efforts of all participants in the new 6G ecosystem are required, such as expanding of 6G usage scenarios, selecting candidate spectrums, vitalizing open interfaces, e.g., Open RAN, and simple architecture options, etc.

whitePaper | January 8, 2020

Smart grid managers and Head End System (HES) vendors depend on data to drive their business. Receiving and analyzing accurate data from grid endpoints - the smart meters - is the main element that determines business success. Their customers, Distribution System Operators (DSOs) and Advanced Metering Infrastructures (AMI) managers, then use this data for crucial processes: monitoring energy demand and production, load shifting to maintain a persistent grid balance at all times and billing customers. Each tiny bit of data is the starting point for monetization and asset management and it must be accurate and trusted in order to keep power flowing.

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?