The Importance of Machine Learning In The Internet of Things

March 1, 2016

The Internet of Things generates an incomprehensible amount of data. It is predicted that by 2020 that there will be 50 billion devices connected to the Internet generating exabytes of data.Machine Learning will play an imperative role in aggregating this data by using sophisticated algorithms designed to identify patterns from which new information can be fostered.This research will focus on the role of machine learning in the Internet of Things and evaluate the impact it will have on cyberspace.

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USM is helping companies change existing business paradigms by bringing tomorrow’s AI and Automation solutions to today’s businesses. Disruptive new technologies are helping corporations become more agile, competitive and profitable. Predictive algorithms are provisioning customer orders more accurately than ever before. Cognitive technologies are enhancing the customer experience at every touch point and open-ledger validation methods are improving the accuracy of complex, global financial transactions. Automation is no longer a choice, it is the engine that drives business growth.

OTHER WHITEPAPERS
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Establishing Confidence in IoT Device Security: How do we get there?

whitePaper | May 14, 2021

The purpose of this draft paper is to start a conversation about what it means to have confidence in the cybersecurity of IoT devices used by individuals and organizations and the various ways of gaining that confidence. This paper describes the landscape of confidence mechanisms that are currently available for establishing the security of IoT devices in the marketplace. In preparing this paper, NIST conducted extensive research on initiatives that can help to instill confidence in IoT device security and held a series of meetings with government and industry experts to glean information on the unique aspects and challenges in this space.

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Accelerating the Impact of Industrial IoT in Small and Medium‑Sized Enterprises

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.

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Smart Factory

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.

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Industrial Internet of Thing

whitePaper | January 2, 2020

The brief report provides a positioning of developments in the area referred to as Industrial Internet of Things (IIoT) – loosely interpreting this as the industrial developments associated with the Internet of Things (IoT). IoT in turn describes the extension of the application of internet communications beyond computers and networked devices to also include the networking of everyday objects. In the context of industrial operations these objects are typically equipment, products and raw materials.

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The Rise of Single Pair Ethernet in IIoT

whitePaper | May 12, 2022

Traditionally the networking architectures used within the industrial domain have been many and varied. With its established enterprise IT roots, Ethernet was always going to be the backbone network of choice to link the worlds of operational technology (OT) and information technology (IT) together. However, since the arrival of Industrial IoT (IIoT), connecting all the production assets, such as sensors, actuators, robots, and the myriad of other equipment, typically involved proprietary, vendor-specific networking. The availability of single-pair Ethernet (SPE) looks set to change this legacy approach.

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WI-FI 6E AND FUTURE-PROOFING WIRELESS INFRASTRUCTURE

whitePaper | May 23, 2023

The future of wireless networking needs will continue to grow. Location based services, sensors, and IoT devices will continue to be added to wireless networks. Expanding and new uses of Wi-Fi that require high performing connections like AR/VR, AI/ML, and new technologies we don’t even know about yet will compete for wireless network resources. Finally, all the standard uses we currently associate with Wi-Fi like video and voice calls, streaming services and cloud hosted applications will continue to bring more devices to wireless networks with increasing traffic demands.

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Spotlight

USM Business Systems

USM is helping companies change existing business paradigms by bringing tomorrow’s AI and Automation solutions to today’s businesses. Disruptive new technologies are helping corporations become more agile, competitive and profitable. Predictive algorithms are provisioning customer orders more accurately than ever before. Cognitive technologies are enhancing the customer experience at every touch point and open-ledger validation methods are improving the accuracy of complex, global financial transactions. Automation is no longer a choice, it is the engine that drives business growth.

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