Real-Time Data and Edge Computing: Revolutionising Oil and Gas Fields

Real-time data and edge computing are rapidly transforming operations within a multitude of industries. And, as the world moves towards digitization, the oil and gas industry is no exception. This is because digitisation leads to increased revenue as companies can enhance project turnaround times and operational efficiency in the years ahead.   Understanding Real-Time Data and Edge Computing Real-time data refers to the instantaneous collection and analysis of information, enabling...

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Differentiating Layer 2 and Layer 3 Switching

Utilising Layer 2 and Layer 3 for Optimal Delivery of High-Quality Data Services In accordance with the Open Systems Interconnection (OSI) networking model, Layer 2 is designated as the data link layer. This layer commonly employs the Ethernet protocol, with devices being distinguished by a unique Media Access Control (MAC) address. Typically, this MAC address is hardcoded into a specific device and remains static over time. Conversely, Layer 3 corresponds to the network layer and utilises...

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Layer 2 vs. Layer 3 Switching

5 IoT Solutions for Industrial Safety

Workplace safety is extremely critical, particularly in the industrial sector, where more than 400 million people suffer injuries on the job each year, and almost 3 million die from workplace-related illnesses and accidents. It has been found that traditional safety measures do not suffice to eliminate these hazards when tried. This is where the story's heroes come into play: IoT tools. Here, we discuss sensors, wearables, and location tags that provide real-time data. Their role is...

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IoT and CSPs in the Future

The Internet of Things (IoT) has revolutionised the business world and reshaped how enterprises work. Undoubtedly, the Internet of Things is assisting businesses in becoming more productive, regardless of whether they're using smart shelving to manage inventory or providing remote patient care. Communication service providers (CSPs) are recognising the growing demand for IoT and capitalising on this opportunity. Service providers offer tailored solutions for enterprises that seamlessly...

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RADinsight TI – Threat Intelligence at the Edge

There is no doubt that this (image or video above) may appear to be... just a forest to the untrained eye, but in reality, it is one of the globe's most complex communication networks. As you may already know, trees not only share water and nutrients underground, but they also use fungi to send and receive distress signals about drought, disease, or insect attacks so that other trees can make changes in their behaviour accordingly as a response. This communication system, which is based on...

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What is Explainable AI?

Discover the crucial role of Explainable AI in making machine learning processes transparent and understandable. Learn how XAI offers insights into AI's decision-making, catering to professionals eager to adopt AI responsibly.

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What is Explainable AI


IoT is a growing market for Communication Service Providers (CSPs). Now that so many companies are using IoT, service providers are developing and launching specific offerings and data plans that simply offer connectivity aren't the only thing they're offering. As IoT develops, it touches every industry from Healthcare to Manufacturing to Retail to Public Utilities and Smart Cities. CSPs have a great opportunity here. In a recent report our partners, RAD, aimed to gain a deeper insight into...

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Smart Cities: Advancing Urban Spaces through IoT and Cloud Technologies

Smart Cities have gained traction recently as urban areas deal with population growth, resource management, and infrastructure needs. In today's tech-driven world, the Internet of Things (IoT) has emerged as a powerful catalyst for driving urban development and making cities smart, sustainable, and efficient. Let's look closely at IoT's role in shaping the future of Smart Cities.   The ‘Smart City’ concept: what is it? A Smart City is an urban environment that uses technology and data...

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The latest trends in artificial intelligence (AI) and machine learning for anomaly detection

Many fields require anomaly detection, including cybersecurity, networking, finance, healthcare, and more. It's a way to spot data that differ from previous observations, such as deviations from normal distributions, expected probability distributions, or a change in the shape and amplitude of a signal in a time series.   Network anomalies The term anomaly describes a sudden, short-lived deviation from normal network operation. Anomalies may be deliberately caused by malicious...

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