Telecom AI

Transforming telecom with Next-Gen AI

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Telecom AI

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. 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.

The growing complexity of network infrastructure, densification of networks, and tens of billions of connected devices make it impractical and beyond human capacity to manage and operate networks using only traditional network management methods and static policies. AI and automation are helping networks overcome this immense challenge.

A future intelligent network will not just take decision autonomously, it will also provide knowledge representation, reasoning, and explanation facilities making zero-touch paradigm a trustworthy reality.

Leveraging extensive domain knowledge and one of the largest data sets in the industry, Ericsson is using industry-leading intelligent solutions and AI to cut through complexity, address the 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 and enabling new business models."

Zero-touch operations

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.

Network automation | Intent-based networks | AI Native

Trustworthy AI

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.

Explainable AI | UX design to trust AI

Big data network

5G network evolution presents new complexities for telecom operators. Transforming these complexities into opportunities, Ericsson’s artificial intelligence (AI) technologies bring together big data with unique network domain expertise to deliver unprecedented benefits for network operations and more.

Reinforcement learning | Machine reasoning | Digital twins | AI in networks

Transforming telecom with generative AI

Generative AI has taken the world by storm, and exciting use cases are already emerging in the telecom industry. Join us as we explore four main avenues through which this technology could have the most impact, including real-world applications for RAN, network management and more.

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Maximize OSS/BSS impact with AI and generative AI

With its new Telco IT AI Apps, a suite of cloud native AI and generative AI applications, Ericsson is augmenting and transforming OSS/BSS. By combining AI and generative AI with OSS/BSS, Ericsson is empowering CSPs with intelligent insights that reduce operations costs, curb revenue loss, refine marketing strategies, enrich the customer experience, reduce attrition and seize new revenue opportunities. To know more read the eBrief.

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Gain a deeper understanding of how AI is transforming telecom networks

AI is transforming industries across the globe, and telecom is no exception. So, what benefits does this technology offer for networks? Where are we already seeing the value of AI being proven? What new opportunities can we expect to emerge, and what ingredients are key to successfully navigating your AI journey? Join our experts and find out, in our new blog series – sign up and receive each post as it’s released!

Five key benefits that reveal the full value of 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.

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Driving sustainability and energy efficiency with AI

We explore how AI can help CSPs to reach their sustainability goals while lowering operating costs. Join our experts as we look into the solutions helping to reduce energy consumption through the use of intelligent network optimization and the activation of energy-saving features.

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Best performance for unparalleled customer service

In this episode, we dive into performance - how AI can help CSPs manage increased complexity and improve network performance, as well as improve customer experience. Gain insights into how AI and its performance benefits can help you stay competitive in an increasingly demanding market.

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Trustworthy AI systems and a new era of security

In this post, we explore why trustworthy AI systems and ethics are central to the success of AI – and how AI can reduce security and compliance issues, detect threats like cyberattacks or fraud and improve customer data protection, driving a new era of security in telecom networks.

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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.

Telecom and AI expertise

Our AI is anything but artificial. It’s built on a strong foundation of combining deep telecom domain expertise, data science and AI knowledge. These skills always work hand in hand, close to customer problems, collaborating to solve them. This means that we know the right problems to solve and how to solve them with the right AI solutions.

Network automation and AI

Discover how automation and AI are transforming mobile networks – and why Ericsson is leading the industry in AI technology.

AI in operations

How we are taking network and IT operations from manual, reactive, and incident-driven, to proactive and data-driven operations – all based on AI and automation.

AI in radio access networks

How do you improve your network performance and user experience in today’s densified networks? AI is one of the keys in conquering these challenges, for LTE as well as 5G.

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.

Intelligent RAN Automation

A series of technologies, solutions and services that use intelligent, machine learning to improve network performance, enhance customer experience and reduce operational costs and energy consumption.

40 percent reduction on bad quality cells.

Augmented MIMO sleep

In Ericsson Radio System, AI algorithms run on the baseband to predict traffic patterns and autonomously turn off antennas as required to reduce energy usage. It’s also possible to combine with Cell sleep and the Low Energy Scheduler solutions for even better savings.

14 percent - average saving for a proof-of-concept cluster

Intelligent Deployment

Ericsson has reshaped the way we deploy networks from the ground up with a digital, agile, and modular suite of tools and services that enable customers to capture the full benefits of their valuable assets.

99 percent first time right site solution from design to delivery.

Cognitive design and optimization

Industry-leading suite of cognitive software solutions for network planning, design, tuning and optimization.

15min execution of performance diagnostics across 1M cells.

Energy infrastructure operations

AI and data analytics to create energy efficiencies on the radio network.

~15 percent energy OPEX reduction through intelligent energy optimization

Service Continuity AI app suite

Implementations of the AI app suite in real-life networks has revealed results,, for example, making the network including radio and core more robust and stable.

35 percent reduction in critical incidents.

Up to 60 percent reductions in network performance issues.

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.

Remote robotics and AI

Hear from Elena Fersman, Head of Research Area Artificial Intelligence at Ericsson Research, how the relationship between humans and robots is changing. Discover why it’s paving the way towards zero-touch operations and a landscape in which the network will automatically adjust and react based on the needs of the robots.

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Ericsson Cognitive Software evolves to accelerate AI adoption

AI adoption is essential for efficient network management and operations. In this video, Ibrahim Eldeftar, Head of Solution Line Cognitive Software and Services at Ericsson, addresses the challenges posed by advancing AI technology. He also outlines how Ericsson supports customers in accelerating and simplifying their AI adoption journey.