IoT at the Edge: HOW AI WILL TRANSFORM IOT ARCHITECTURE

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?

Spotlight

V2COM

V2COM offers complete solutions for the M2M market. Hardware, Software and Communication Networks, allied with integration and operation ability, form the most complete option for transforming remote devices into sources of value for companies.A pioneer in the development of Wireless M2M solutions, V2COM has experience in a wide variety of communication networks and has implemented their solutions in some of the most important Utilities in Latin America.With more than 10 years of Internet of Things (IoT) experience and more than one million devices connected world-wide, V2COM provides a platform to turn products into intelligent connected devices. V2COM’s technology accelerates IoT project deployments and their time-to-market. V2COM’s core offerings and products serve as an operating system that removes the complexity of data protocols, sensors interfaces, security, microprocessors architecture, software application language and wireless connectivity to create seamless, device intellig

OTHER WHITEPAPERS
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Secure IoT begins with Zero-Touch Provisioning at scale

whitePaper | January 26, 2022

What’s the largest roadblock to realizing the promise of the Internet of Things? For many organizations, the obstacle delaying widespread deployments is the strategy for onboarding the necessary edge resources for a lifetime of secure operation. Proof-of-concept and pilot systems comprised of dozens and even hundreds of nodes in a controlled setting are simply different than a full-scale rollout.

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Securing Devices in Advanced Metering Infrastructures

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.

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Transforming Endpoints with Artificial Intelligence

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.

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Advancing the Industrial Internet of Things

whitePaper | December 6, 2019

This white paper demonstrates how two leading organizations in the Internet of Things (IoT) can work together towards a common purpose of a robust, interoperable, flexible and efficient Industrial Internet of Things (IIoT). We first introduce the two organizations, the Industrial Internet Consortium (IIC) and oneM2MTM, then illustrate their technical approach to IoT solutions, demonstrating how both organizations’ thought leaders envision the growth of IoT through collaboration.

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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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Best practices for cellular IoT development

whitePaper | March 28, 2022

This document introduces the main aspects and decisions you need to consider before and during your development phase of a low-power cellular Internet of Things (IoT) product. The sections are structured and ordered chronologically to follow a natural way of designing a cellular IoT device. The first sections cover the initial design decisions you might need to make to get the best possible baseline of your design. This includes overviews about the nRF9160 System in Package (SiP), modem radio, and radio technologies. The importance of network coverage and access is also discussed.

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Spotlight

V2COM

V2COM offers complete solutions for the M2M market. Hardware, Software and Communication Networks, allied with integration and operation ability, form the most complete option for transforming remote devices into sources of value for companies.A pioneer in the development of Wireless M2M solutions, V2COM has experience in a wide variety of communication networks and has implemented their solutions in some of the most important Utilities in Latin America.With more than 10 years of Internet of Things (IoT) experience and more than one million devices connected world-wide, V2COM provides a platform to turn products into intelligent connected devices. V2COM’s technology accelerates IoT project deployments and their time-to-market. V2COM’s core offerings and products serve as an operating system that removes the complexity of data protocols, sensors interfaces, security, microprocessors architecture, software application language and wireless connectivity to create seamless, device intellig

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