Edge compute: use cases, business opportunities and growth strategies
If edge computing is an area of interest to you or a key part of your strategy and growth plans, our edge insight and support could help
What is edge computing and why focus on it now?
Edge computing brings processing capabilities closer to the end user/device or the source of data. 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. 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.
See our edge computing articles, research and webinars below or talk to us about your project.
What our customers say
STL Partners edge practice in the news:
Recent publications that have featured our edge experts
Edge research and insight
We work with telecoms operators and the leading technology companies in the ecosystem on edge computing. These insight pieces can help you understand and capture the opportunity.
Overview
About edge compute and edge cloud
An overview of edge computing and edge cloud to highlight the key questions being asked by the wider ecosystem and telecoms operators who are exploring the opportunity
Interactive tool
Edge computing ecosystem tool
An interactive tool that maps out where different companies are positioned across the edge computing ecosystem
Research
What edge developers want from telcos now?
The use of edge computing is accelerating rapidly in applications. Through seven case studies we outline what developers want from edge computing, and how telcos can support them
Article
Telcos can disrupt AR/VR gaming models with edge computing
Edge computing can revolutionise the AR/VR gaming industry and provide an additional revenue source for telcos. Telcos can offer an edge cloud platform to gaming companies, which will bring the compute capabilities from the AR/VR headset to the edge cloud.
Article
What’s blockchain got to do with edge computing?
Edge computing enables a network for blockchain, but what’s blockchain’s role in edge computing? Why blockchain could enable a truly open distributed cloud marketplace.
Article
Edge computing: Changing the balance of energy in networks
Energy consumption levels across networks and data centres are on the rise due to the advancement of the internet and cloud-based services. To combat these challenges, edge computing can be utilised to change the balance of energy across a variety of use cases and applications.
Research
Turning vision into practice
Our Telco edge computing: Turning vision into practice research gives an overview of the telco opportunity and seeks to address the key challenges for operators pursuing edge
Webinar
Edge computing from the front line: developer case studies
Much of the discussion around edge computing has focused on use cases which are still hypothetical.
This webinar presented case studies “from the front lines” of developers & enterprises testing edge computing today across different applications.
Article
5 things edge computing app developers want telecoms operators to know
The telecommunications industry interested in edge computing must listen to the requirements of developers who will run their applications at the edge. These developers want clarity around delivery, orchestration and pricing.
Data chart
How advanced are the industry’s edge strategies?
Our data snapshot shows the telecoms industry is yet to embrace edge and most are still trying to understand the market, particularly the telecoms operators.
Article
Mobile Edge Computing: What is Mobile Edge Computing?
Multi-access Edge Computing (MEC) – formerly known as mobile edge computing – is a type of edge computing that extends the capabilities of cloud computing by bringing it to the edge of the network.
Webinar
Edge business models and how to execute them
A joint webinar with MobiledgeX and STL Partners exploring edge cloud business models and the value proposition for application developers in augmented reality.
Research
Five viable telco business models
How telcos can commercialise multi-access edge computing? We present five business models for telcos, demonstrating quantified revenue streams and costs.
Article
Decoupled cloud connectivity pricing models for edge
We discuss how encouraging applications to move workloads to the edge to reduce backhaul costs will inadvertently mean telcos need to re-evaluate their pricing models
Data chart
Investment in edge start ups
Our data snapshot shows that venture capitalists and other investors see the value in the edge cloud market, as the number of start-ups continues to grow in this space
Article
What can telcos learn from Amazon?
AWS built its customer base by moving from a test bed to a permanent option for IT and computing. Engaging application developers is crucial for growing the edge cloud
Article
How does edge computing architecture impact latency
This article answers that question mapping out the potential “level of edge” and where different operators have announced they are testing or planned to deploy edge nodes.
Article
Why 5G needs edge more than edge needs 5G
4G and edge will drive 5G coverage and applications. This would boost service demand and offer growth for telcos at a time when there is still scepticism for the 5G business case
Article
Artificial intelligence: a killer app for edge computing?
Artificial intelligence and edge computing are both buzzwords within the industry in their own right. But, they should also be considered together – AI as a key use case for edge computing, and edge computing as a key enabler for AI to deliver on performance and keep costs down. In this article we’ll discuss opportunities and challenges, as well as a couple of key use cases for artificial intelligence at the edge.
Article
How edge computing will support digital transformation in the oil and gas industry
Improving operational efficiency is paramount in the oil and gas industry: it is capital intensive, price sensitive and (can) operate in extreme environments. Digital transformation has become critically important and is being aided by the rise of IoT, AI and AR/VR. In this article, we share our thoughts on how edge computing can also play a key role.
Meet the edge computing team
Philip Laidler
Partner and Consulting Director
Dalia Adib
Principal Consultant and Edge Practice Lead
Tilly Gilbert
Consultant
Darius Singh
Senior Consultant
Murrough O’Brien
Senior Associate