AI is creating business value in terms of improved performance, higher efficiency, enhanced customer experience as well as creating new business models and use cases for 5G, IoT and enterprise.
What is telecom AI?
Telecom AI refers to those artificial intelligence (AI) technologies and solutions developed to support the evolving needs of communication service providers and other stakeholders in the telecommunications industry.
Why is AI useful in telecommunications?
Industries and enterprises are currently shifting gears and accelerating their digital transformations as 5G, IoT and edge computing gain traction. But with these new opportunities also come new complexities for network operations – a coexistence of new and legacy technologies, hybrid networks, a variety of frequency bands and spectrums, and an abundance of connected devices. At the same time, emerging requirements from industrial use cases need further performance enhancements and network optimization.
At Ericsson, we’re using industry-leading intelligent solutions and AI to cut through the complexity, address requirements of modern technologies and use cases, increase network performance, lower operating costs and enable network automation – all with a central focus on achieving concrete business goals.
Key elements for telecom AI
By using a combination of currently available and well-understood AI techniques within a flexible architecture, we can reach a high degree of practical autonomous operation. This will lead us into an era of intelligent, autonomous, zero-touch network operations. The real value of AI is not limited to applications which connect to the network but will ultimately be realized in the networks.
To realize the full potential of AI, trust needs to be established in the development, deployment and use of AI. This is why it’s critical for us to build human trust in AI, addressing aspects spanning from explainability and human oversight to security and built-in safety mechanisms. Trustworthiness is a prerequisite for AI, and we are building it into the system by design.
Benefits of Telecom AI
Gain a deeper understanding of the full value of AI for telecom, as our experts introduce our blog series and reveal the five key benefits of AI for networks, plus give unique insights and tips for how communication service providers (CSPs) can get started on their AI journey.
Hear from our experts in AI
Telecom AI technologies and approaches
AI capabilities solving major challenges for service providers
We are not building a general-purpose artificial intelligence platform, trying to solve problems in every industry. Instead, we have developed our skills and capabilities in telco AI to address the challenges of service providers. Working closely with our customers’ challenges, data and products, we are providing them with a different approach to getting value from their networks. We have identified and prioritized four AI capabilities that make our AI as effective as possible.
Our AI solutions in action
Our artificial intelligence solutions target service providers to address their challenges to maximize efficiency and end-customer experiences and create new revenue streams. They are embedded throughout the network, built by people with extensive AI and telecom expertise, and with an AI-first mindset and technology in every product or service.
More about the main areas we address with our AI solutions
Ensure network performance
The world becomes increasingly dependent on superior network performance, both from a consumer and a business perspective. It’s the main driver of consumer satisfaction, and absolutely necessary when deeply integrated into industrial production processes. It needs to be always up, always on, always performing. We use AI in our networks to secure top-class performance.
Realize the value of network slicing in a cloud-native core
Virtualization and cloudification promise improved agility, lower cost and is the foundation for new service creation. A cloud-powered network with a virtualized core is a competent tool for service provider transformation, but it also comes with challenges. We realize the value of the virtualization of core and cloud technologies with AI.
Improve energy efficiency and meet the demands of sustainability
Reducing network energy consumption benefits everyone – the consumer, the environment and the bottom line. We use AI to plan, manage and run networks more efficiently from an energy perspective.
Create an outstanding, future-proof customer experience
Future customer experience is based on more than coverage and capacity. With diverse use cases, the definition of customer experience will be equally diverse. To meet these requirements, manual activities are not enough, and AI will enable service providers to create and assure experience no matter what those services are.
Turn operations into an efficient business enabler
Operations are key for service providers to realize business opportunities. Service providers need to create relentless efficiency in operations by becoming data-driven and predictive. We use AI to increase efficiency in operations while transforming to deliver on business KPIs rather than network KPIs.
Bring out the most from your existing infrastructure
AI is not only about 5G and the future. It’s a powerful tool to bring out most of the infrastructure already in place, making sure that you can keep the cost down and customer experience high.
Insights on Telecom AI
Finding ways to make networks more energy efficient without negatively impacting experience is critical to network operators for both cost and sustainability reasons. To assist in these efforts, we are exploring the potential of using AI techniques to recommend energy-efficient configuration settings for network nodes.