Telco’s take the leap with Edge computing
5G and beyond: How Edge computing is transforming the telecom industry
The combination of 5G and Edge computing is revolutionizing numerous industries, including telecommunications. And now, 6G is also on the horizon, promising to take data processing to the next level.
Edge computing in telecommunications gives operators a strategic opportunity to enhance operations and leverage their expertise to generate more revenue and move further up the value chain.
The telecommunications industry stands to gain numerous advantages from Edge computing. For instance, the industry can gain valuable insights into its supply chains and receive nearly real-time updates on asset performance, particularly in remote or hard-to-reach locations.
Edge computing can also be used in a maintenance capacity to predict and mitigate faults in networks and equipment before they occur.
Telecom providers' traditional strengths in network design and management, as well as communications and security, put them in a strong position to assume market leadership in 5G and 6G networks and Edge computing. They are also well-placed to help companies manage the complexities of Edge computing infrastructure.
In fact, providers can adopt three broad approaches to Edge computing to expand revenue streams. These include horizontal platforms, end-to-end vertical solutions, and Edge partnerships, which are explored in further detail in the sources below.
All in all, Edge computing holds much promise for the future of telecommunications, allowing telecoms to drive revenue by using their expertise and infrastructure to be a part of the future of computing and connectivity infrastructure.
The telecom industry can leverage Edge computing to enhance its operations, increase resiliency in the network, and offer new services and innovations to its customers.
To learn more, see the following resources.
Telecoms gear up for market expansion in Edge services
According to the following article, telecom companies worldwide are preparing for the anticipated demand for Edge computing services, which are crucial for emerging technologies like AI and AR/VR.
The enterprise Edge services market is expected to grow from $116 billion in 2023 to $245 billion by 2027. However, there still needs to be more clarity over the definition of the Edge, and players from different sectors are competing for ownership.
Still, businesses that proactively embrace Edge enablement can position themselves to best capitalize on the rise of Edge computing.
Telecom Suits up for Predicted Edge-Computing Boom
Revolutionizing the future of connectivity and revenue generation
Telecom Edge computing allows operators to generate revenue and move up the value chain.
As mentioned, this article covers three approaches to expanding revenue streams through Edge computing: horizontal platforms, end-to-end vertical solutions, and Edge partnerships.
Verizon's 5G Edge is an example of how combining 5G and Edge computing can drive efficiency, optimize costs, and improve customer experiences.
Edge Computing and the Future of Telecommunications
The road ahead for network automation
Google Cloud has launched a new cloud-based product called Telecom Network Automation, which aims to help communication service providers (CSPs) automate and optimize their network operations.
Telecom Network Automation allows CSPs to use common automation templates to manage their network infrastructure across multiple clouds and vendors, using AI-powered control loops to monitor and adjust network performance.
The product supports various use cases, such as 5G radio access networks, Edge computing, network slicing, and private networks.
Google Cloud Announces Industry-Changing Telecom Network Automation Powered by AI
Some extra resources
Exploring the possibilities of 6G networks
If you want to learn more about 6G networks, the following article explores how 6G can transform human-machine interactions with improved context-aware devices.
However, meeting stringent quality of service requirements demands highly distributed Edge computing technology, which brings challenges related to reliability and dependability.
The article proposes a three-layer Edge computing architecture to address these issues to achieve fast communication and response times.
On the Dependability of 6G Networks
Edge AI in real-world scenarios
The article below discusses the concept of Edge AI, which involves deploying AI and machine learning algorithms on devices such as Edge computers and IoT hardware.
The article provides several examples of Edge AI use cases in various industries, including retail, supply chain management, healthcare, and smart cities.
These examples demonstrate how Edge AI can improve operational efficiency, reduce costs, and enhance the customer experience.
How Edge AI Enables Groundbreaking Applications
The collaborative approach to Edge AI
To make strides in AI/ML, the following article argues that companies need to look to Edge solutions. However, this poses complex challenges that require collaboration between different experts.
While building Edge AI solutions can be difficult, there are platforms to help bring teams together and ensure success in less time.
Uncovering New Opportunities with Edge AI
Xailient’s newest article
Our brand new blog, What Are the Top 7 Edge Computing Use Cases?, explores some of the most notable Edge computing use cases and examines how businesses implement this cutting-edge technology.
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