Deliver best results with edge computing

The results you need

Edge computing is a type of distributed system that works hand in hand with 5G. 5G networks connect more devices and are faster than 4G or Wi-Fi networks, creating opportunity to provide lower latency, higher reliability, and faster speeds. This is exactly why 5G is the perfect match for the edge.

With edge computing, you are processing, storing, and analyzing your data at or near where it’s being generated. Having the resources on the edge to do so allows for much faster response times.

Scalability among a distributed workforce

Internet of Things (IoT) edge devices collect enormous amounts of data. When they are tasked with transmitting this information through the data center or cloud, they are not always as efficient as we’d hope. However, when IoT devices are running on an edge solution, they can locally analyze data and make recommendations much faster. Using the edge to help your organization’s efficiency can lend itself across many verticals.

“IDC has identified more than 150 use cases for edge computing across various industries and domains.” (IDC Source)

On the operations side, retailers can use sensors to monitor inventory levels and track assets in real time. They can also utilize this technology to elevate and personalize the customer experience via virtual reality (VR) experiences, smart digital signage, and payment solutions.

According to a Pathfinder paper commissioned by Dell and Intel, 38% of retail enterprise infrastructure is already edge-based (deployed outside of core datacenters) and 77% of retailers say they will be increasing their edge infrastructure in the next two years, and 27% of those plan to increase it ‘significantly.’

Manufacturing can use IoT devices to provide data on equipment usage. These statistics help organizations make decisions about predictive maintenance, which provides extra cost savings over traditional scheduled maintenance.

The edge shines in healthcare where it can be used with AI to help detect health issues more swiftly. It can also help remotely monitor patient health and wellness.

When it comes to transportation, an accident can take place in less than seconds. With autonomous vehicles gaining popularity, it’s important that the data the vehicle collects is processed as fast as possible – and edge computing can cut this processing time.

In agriculture, the edge enables smart farming. Environmental monitoring can help farmers keep track of pH levels, weather, and more, leading to more productive seasons.

In education, the edge can provide better application of extended reality, like augmented reality or virtual reality, which need high bandwidth and low latency to deliver the best learning experiences.

“Worldwide spending on edge computing is expected to be $176 billion in 2022, an increase of 14.8% over 2021. Enterprise and service provider spending on hardware, software, and services for edge solutions is forecast to sustain this pace of growth through 2025 when spending will reach nearly $274 billion, according to the International Data Corporation.” (IDC)