Edge computing questions and answers: What you need to know about edge compute
What is edge computing?
Edge computing brings processing capabilities closer to the end-user or the source of data. In effect, this means having less computation and storage in the cloud, and instead moving to local places, such as an edge server. Read our overview of edge computing here.
Why focus on edge computing now?
New technologies and demand for new applications means the time is ripe for edge. Consumers want low latency for content-driven experiences and enterprises require local processing for security and resilient operations. If you want to learn more about where edge computing is headed, we cover the future of edge computing here.
What are the major edge computing use cases?
There are many use cases which involve edge computing, from virtualised RAN to cloud gaming. We explain 10 examples of edge computing in more detail.
What companies are working in edge computing?
Many companies, big and small, are looking to play within this space. We compiled a list of edge computing companies to look out for in the next couple of years.
How does 5G and edge computing?
5G needs edge computing for two reasons: 1) 5G will rely on edge computing to meet latency requirements of 5G applications 2) edge computing will help cultivate an ecosystem of applications that also need 5G. Find out more about edge computing and 5G here.
How does IoT relate to edge computing?
IoT applications will need edge computing for the benefits it gives around latency, bandwidth and security. Learn more about IoT and edge computing.
How STL Partners can help you
Those who want to add value in this space need to understand the business models, the use cases and define a clear go-to-market plan, including operators who can use edge computing to grow revenues outside connectivity.
Read more about edge computing
Edge computing market overview
This 33-page document will provide you with a summary of our insights from our edge computing research and consulting work:
3 key uses cases driving edge computing for manufacturing
Innovative uses of AI, IoT, and edge computing are transforming the manufacturing industry. This article explores some uses cases that are driving demand for smart manufacturing, and the challenges that are preventing widespread adoption.
Is AI accelerating the edge opportunity?
Part one of a four-part series where we examine exactly how the advent of a new wave of Large Language Models (LLMs) will change the edge opportunity. We explore the AI use cases that edge computing could help to facillitate, the use of AI in edge orchestration, and whether there will be new entrants to the edge market.
What is SCADA? Supervisory Control and Data Acquisition
This article defines SCADA (Supervisory control and data acquisition) and the demand for edge computing to support SCADA systems. Across heavy industries, automation and analytics are transforming process management and OT, integrating intelligence into the operations of enterprise. Due to its specific compute demands, SCADA benefits hugely from the computational and security benefits of edge computing.