Which IoT Applications will Benefit Most from Edge Computing?

POD GROUP | March 2, 2020

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Edge computing refers to information being processed at the edge of the network, rather than being sent to a central cloud server. The benefits of edge computing include reduced latency, reduced costs, increased security and increased business efficiency. Transferring data from the edge of a network takes time, particularly if the data is being collected in a remote location. While the transfer may usually take less than a second, glitches in the network or an unreliable connection may increase the time required. For some IoT applications, for example, self-driving cars, even a second may be too long. Imagine a security camera that’s monitoring an empty hallway. There’s no need to send hours of large video files of an empty hallway to a cloud server (where you will need to pay to store them). With edge computing, the video could be sent to the cloud only if there is movement detected in the hallway.

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SharpEnd

The Agency of Things™ - is moving brands closer than ever to consumers by connecting packaging, retail and experiential activity. We are a full-service partner to some of the largest global brand owners across fashion, spirits and CPG including Estée Lauder Companies, Pernod Ricard, PepsiCo, Mattel and Nestlé.

OTHER ARTICLES

Advantages and Disadvantages of Implementing IoT in Healthcare

Article | March 17, 2020

Given such examples, the Internet of Things (IoT) is seen as a way of living a smarter and safer life and its application is highly encouraged in medical establishments. However, digital transformation in healthcare isn’t without threats. It’s important to weigh all the advantages and disadvantages of implementing IoT systems in healthcare to be able to plan for ways to maximize the pros while mitigating the cons.

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The rise of enterprise in IoT

Article | February 25, 2020

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An Introduction to IoT Sensors

Article | March 5, 2020

This post will cover various important sensors that are possibilities for an IoT deployment. Sensors are the backbone of any IoT deployment. They gather information and provide software with sensory information it needs to achieve its full potential. In addition, this post will go over considerations and decision-making for selecting sensors in an IoT deployment. Often times, a single sensor is not the best implementation, a suite of sensors can gather more data and even affect behavior for other sensors. In many cases, more than one sensor is necessary to perform the IoT deployment’s function. Sensors are just as critical to every IoT application as the internet. Imagine Alexa or Google Home without a microphone: it wouldn’t work. People wouldn’t be able to interact with the device, or it would need some other kind of sensor such as a keyboard to obtain input from a user.

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How Big Data and IoT Are Connected

Article | April 1, 2020

Big data as a term and a field, has been around for some time. It relates to the ways in which we study, analyze and process data sets that are too large to be handled by traditional data-processing software. Data can be described as ‘big’ when it demonstrates the four ‘V’ qualities: veracity (accuracy), velocity (speed), volume (size) and variety (both structured and unstructured). IoT, on the other hand, came much later and relates to devices, data and marrying them together. This area looks at making devices ‘smart’ (anything from watches to kettles) and collecting data about their performance or usage to influence consumer behavior.

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Spotlight

SharpEnd

The Agency of Things™ - is moving brands closer than ever to consumers by connecting packaging, retail and experiential activity. We are a full-service partner to some of the largest global brand owners across fashion, spirits and CPG including Estée Lauder Companies, Pernod Ricard, PepsiCo, Mattel and Nestlé.

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