Edge Computing is technically micro data centers installed at the Edge of the network, allowing efficient data processing locally and close to the source. This reduces latency, providing instant processing and analysis with excellent analytical speed.When applied to enterprises such as production plants, Edge Computing and IoT infrastructure significantly improve the response time to attend to any fault and improve downtime and productivity.

This post will summarize the top reasons why deploying edge computing is essential for I4.0 or digitization.

Make Big Data to Small using Edge.

Intelligence to manufacturing operations means monitoring and recording millions of data from the operation technology (OT) and analyzing these data points to make real-time decisions and help in predictive maintenance.

The amount of data could be overwhelming and add a high cost, data storage, bandwidth, cloud computing, and data analytics.

Edge servers process most of that data at the Edge to filter out signals from the noise and make sure you only focus on the essential information and reduce the cost of data processing and analytics.

Edge for Ultra-Low Latency.

Sensors sending data to a remote cloud data center for analysis have long and unpredictable latency. The opportunity to act on the data might be lost for time-bound use-cases, where you need a real-time onsite alarm or trigger to respond to any anomaly.Edge computing gives a predictable and ultra-low latency, ideal for time-critical situations, including any use-case where the operation is mission-critical or in motion or needs immediate attention.

Source: LinkedIn