Computing and Analytics at the Edge

A closer look at Edge Computing and Analytics and how it is quickly becoming the newest wave of technology that is revolutionizing the way we interact with computers, networks, and data.

Edge computing and analytics enable us to collect and analyze data from connected devices like the Internet of Things (IoT). By leveraging edge computing technology, we can gain powerful insights into operations, consumer behaviors and trends, and more. This makes it easier for everyone to make strategic decisions for the future. Edge computing takes cloud computing and brings it closer to end users by allowing data storage and compute resources to be located “at the edge” of a network.

This means that instead of relying on distant clouds or servers, these devices are able to perform computations at the device level without having to send them back and forth between clouds or other remote locations.

In Oil & Gas, for example, a Field Engineer can remotely monitor for fugitive gas leaks or black smoke and address issues sooner and in real-time lowering the time to react and solve these environmental impacts.? Operationally this reduces the need to roll trucks to each site to physically see what is happening, creating a reduction in fleet costs across the board.? With our AI we can provide alerts and images, videos, and data directly to an engineer's mobile device.??

The combination of edge computing with analytics offers organizations unprecedented insights as well as real-time feedback on system performance. By leveraging powerful machine learning algorithms, smart devices can identify user data trends within milliseconds.

The Origin of Edge Computing

Primary applications of edge computing date back to the early 1990s, when Akamai's content delivery network (CDN) was introduced. The idea was to deploy CDN nodes near end users to route cached files such as photos and videos to them, faster and more efficiently.? Today, data is made available because of the edge processing from chip sets and applications that sit right at the layer where data is collected from the actual devices themselves, like cameras, air sensors, or pumps.? Technology is merging once again to put the ability to collect, process and display data right inside the actual device itself with powerful semiconductor chips, breaking traditionally where gateways and edge servers held applications to do this processing.? Clovity provides edge data extraction, filtering, and AI processing right at the edge and provides users an ‘Edge Dashboard’ that provides real-time visibility to their environments.? Our clients augment their existing cloud, BI, and even SCADA data with Clovity’s edge insights and can use the data for real-time action.? In addition to providing insights, Clovity’s edge APIs can create notifications once data triggers have been spotted by our application.? Notifications are a great way to send messages of KPI impacts, exceptions, and alerts to the Operations which will lead to lower maintenance costs, greater operational efficiencies, greater safety, and visibility to their environments.

Business Applications of Edge Computing

Businesses are increasingly turning to edge computing and analytics to improve operational efficiency. It has applications across industries, from healthcare to manufacturing. In healthcare, for example, edge computing can be used to analyze medical devices in real-time and make decisions about treatment plans without having to wait for data transmission via the internet. Edge analytics can also be used in manufacturing operations to collect data from devices on the factory floor and identify potential problems before they cause costly downtime. Industries such as oil and gas and energy have adopted not just operationally the notion of edge data and analytics, but also their customers as well.? By providing insights into usage patterns and device consumption areas both business operations and end users can benefit from making actionable decisions from the data they receive in real-time.??

Harnessing the Power of Edge with Clovity and Stratus Technologies

In conclusion, Clovity’s IoT and AI platform CSensorNet is a revolutionary solution for enterprises looking to better connect with their assets, analyze data, and stay on cutting-edge technology. Our innovative platform provides powerful analytics and secure edge computing capabilities to give you a competitive advantage in today’s ever-evolving digital landscape. With Clovity, enterprises can rest assured that their connected devices and assets are safe, secure, and helping them make informed decisions in real time. We are a full-service firm so schedule time with our experts who can assess your environment and provide recommendations for improving your Operations and customer experiences with our application.??

We have an upcoming Webinar hosted by our Chief Strategy Officer - Chris Medina and Andrew Hinz , Regional Manager South Central US at Stratus Technologies on how this simple technology strategy can radically improve your business. Register here: https://www.clovity.com/march-webinar-2023

Written by Alisha Siddhartha