Edge Convergence

What is Edge Convergence?

Edge Convergence is a model that combines 5G private networks with Edge Computing to unify connectivity and processing power directly within the industrial environment.

This convergence enables critical processes to be executed locally and in real time, without relying on the public cloud or external networks.

How is it related to Edge Computing, and what makes it different?

Edge Computing focuses on bringing computation closer to where data is generated. Edge Convergence goes a step further by integrating that compute layer with a 5G private network, creating a single, optimised platform for industrial operations.

In other words, Edge Convergence does not replace Edge Computing; it enhances it through more robust, secure, and predictable connectivity.

What does it provide to businesses, and what role does Edge AI play?

By converging network and compute, organisations can process data in milliseconds, improve automation, and increase system reliability. In this environment, Edge AI, artificial intelligence that runs directly at the edge, plays a crucial role: it enables real-time data analysis and decision-making within the facility itself, without sending information to remote centres.

This helps maintain privacy, data sovereignty, and operational stability in advanced manufacturing, logistics, and energy scenarios.

What practical benefits does it offer?

• Enhanced security by keeping data and processes within the private network.
• Real-time processing, essential for critical operations.
• Minimal latency thanks to the proximity of connectivity and compute.
• Optimised performance by distributing workloads where they bring the most value.
• Data sovereignty by keeping information within local facilities.