Support Internet of Things (IoT) and co-create Artificial Intelligence (AI) capabilities by bringing near-real-time data analysis closer to where it’s needed.
Do business smarter
Innovate with a BT-managed ‘edge cloud’ platform that moves computing power to wherever it’s needed.
Improve operational performance
Achieve low latency and rapid data analysis for IoT and AI applications.
Reduce congestion – and costs
Cut data traffic to core clouds, avoiding network congestion and reducing costs.
Solve connectivity performance issues
Achieve practical solutions for remote commercial locations with expensive, limited, or zero cloud connectivity.
Why choose BT for edge computing
Global reach
We can install and manage Edge Compute sensors, wherever you need them, supported by a full-service wrap.
An extensive partner ecosystem
Providing a wide choice of partners and technologies to build your tailored solution.
A flexible, customer-focused approach
We centre our solution on helping you meet your business goals, enabling your choices of suppliers.
FAQs
What is edge computing?
Edge computing focuses on bringing computation and data storage closer to where it is needed. In traditional cloud computing, data is sent to big data centres for processing. But with edge computing, the processing happens on or near the device or ‘edge’ of the network where the data is created.
What does edge computing do?
Edge computing reduces delays, enhances performance, and makes things more efficient by processing data closer to the source. This is especially important for tasks that need real-time or near-real-time processing, like Internet of Things (IoT) devices, self-driving cars, augmented reality, and other applications that are very sensitive to delays.
Edge computing vs cloud computing: what are the differences?
Edge computing involves processing data near its source, minimising latency and reducing the need for centralised cloud servers. In contrast, cloud computing relies on centralised data centres for processing, introducing potential latency due to data transmission.
Cloud computing is better for applications with less stringent latency requirements and extensive storage needs, while edge computing excels in scenarios where bandwidth usage needs to be optimised, as it processes data locally and transmits only essential information to the cloud.
Industry Insights
Discover more about edge computing from our industry experts.
