On the first day of MWC, Red Hat revealed several additional tie-ups with operators and vendors around the world
Earlier this month, Red Hat — IBM-owned open source solutions provider — announced that T-Mobile US selected its Red Hat OpenShift Platform Plus to automate its operations and...
The AI-RAN Alliance is also working with tech partners to create four, distinct AI-RAN Alliance-endorsed labs
The AI-RAN Alliance announced today that it now has 75 members from 17 different countries. The Alliance is also launching two flagship initiatives and will showcase several AI-RAN technology...
AI is no longer optional—it is a strategic necessity for CSPs: AI-powered automation is essential for reducing opex, enhancing customer experience, and unlocking new revenue streams. Agentic AI and generative AI will drive the next evolution in CSP automation: self-optimizing networks, predictive maintenance, and...
The GSMA has identified significant limitations around the ability of current AI models to address telecom-specific queries
Ahead of Mobile World Congress Barcelona 2025, the GSMA Foundry, the association’s innovation hub, announced the launch of the GSMA Open-Telco LLM Benchmarks, which it described as an “open-source community...
The convergence of 5G technology and artificial intelligence (AI) is transforming the telecommunications landscape. Communications service providers (CSPs) can leverage AI tools — including machine learning, predictive analytics and natural language processing — to streamline operations, increase productivity and implement new monetization strategies.
While many...
The telecommunications industry is managing unprecedented volumes of data — from continuous streams generated by 5G networks to vast information flows from IoT devices and edge computing. Yet, big data organizations like telcos may find themselves utilizing only a fraction of the data they...
Of the telecom professionals surveyed by Nvidia, 97% said their company is either actively deploying or assessing deploying AI
A new survey published this week by Nvidia reveals that telcos are leaning into artificial intelligence (AI) , and even generative AI (gen AI), quite aggressively,...
Dell AI for Telecom brings together AI data, infrastructure, software, services and use cases
Communications service providers (CSPs) are facing increasing pressure to optimize their operations and reduce costs and energy use — all while improving network performance and enhancing the customer experience. An effective...
As CSPs invest in AI infrastructure, robust testing and assurance frameworks are essential. Key considerations include validating AI model accuracy, managing latency and ensuring resilience in real-time, distributed environments. Continuous performance monitoring and adaptive assurance are necessary to maintain service quality and support scalable...
RCR Wireless News received the below 2025 predictions via email from Nvidia. They are attributed to the company's Senior Vice President of Telecoms Ronnie Vasishta.
The AI connection: Telecommunications providers will begin to deliver generative AI applications and 5G connectivity over the same network. AI radio...
Fraud management is emerging as a pivotal area where generative artificial intelligence (GenAI) and AI agents are providing cutting-edge fraud detection and prevention techniques that enable telcos to more effectively fight fraud. The telecom industry has long been encumbered by reliance on manual, labour-intensive...
Artificial Intelligence (AI) is poised to revolutionize cellular networks, from right-sizing the network build to enhancing radio link performance and streamlining operations. One of the most significant impacts will be in optimizing network operations. By leveraging AI-powered solutions, operators can reduce costs, improve reliability,...
The radio access network consumes, by far, the majority of power needed to operate mobile networks. Given the reality operators are facing—pressing needs to reduce operational costs while working towards long-term climate action goals without sacrificing network performance—more energy efficient RAN is a key...
An edge AI “easy button” for enterprise digital transformation
In their own effort to better (and more profitably) serve enterprise customers, CSPs are going through a number of network overhauls designed to deliver customizable compute, connectivity and services directly to business locations. Similarly, the enterprises...
BT talks monetizing edge AI, creating a global connectivity fabric and the future of conversational networks
Back in June at a telecoms industry show, BT CTO Colin Bannon referred to the edge as the “Goldilocks location for AI.” He expanded on this topic, and more,...
As Turkcell adopts AI, initial use cases include energy savings, customer complaint forecasting and radio link failure prediction
Looking back at the technological jump from 4G to 5G, marked by the move to cloud-native architecture and virtualized network functions—essentially a shift from hardware-centric to software-centric...
We’re now a quarter of the way through the 21st century. Just 25 years ago, we feared the Year 2000 (Y2K) (or Millennium) bug would cause major computer glitches and bring everything down. Just 10 years ago — when we turned the calendar to...
Artificial intelligence (AI) is creating vast new opportunities for communications service providers (CSPs), from faster, self-optimizing networks to intelligent chatbots that transform their customers’ experience. With the number of AI workloads expected to substantially increase over the coming years, CSPs who can efficiently implement...
Three workload distribution models are emerging for AI-RAN — RAN-only, RAN-heavy or AI-heavy
In November, SoftBank announced that it successfully piloted the world’s first combined AI and 5G telecom network using the NVIDIA AI Aerial accelerated computing platform in an outdoor trial conducted in Japan’s Kanagawa prefecture....
Google Cloud sees telco AI "absorption rate” as an “incredible phenomenon”
Communications service providers (CSPs) are all-in on AI; makes sense given macro issues around a lack of effective network monetization despite a massive capital outlay which is putting pressure on automation as the primary...
Multi-agent collaboration solutions are systems where multiple AI agents work together within a network to accomplish complex tasks or solve intricate problems. These agents communicate, share data, and make collaborative decisions in real time, leveraging each agent’s strengths and specializations to improve efficiency, optimize...
AT&T says it will shift 70% of its network traffic onto open and interoperable platforms by 2026 as part of its RAN modernization plan
Last year, AT&T announced a roughly $14 billion plan to shift 70% of its network traffic onto open and interoperable platforms...
AI can enhance network optimization and process efficiency while also helping CSPs capture new revenue streams
Dell Technologies is making strides to bring artificial intelligence (AI) solutions from the enterprise IT world into the telecommunications sector. In a recent move, the company introduced Dell AI...
Telefonica: “I think one of the killer apps of network programmability can be ML”
Before diving into the role of a programmable data plane in supporting telco AI applications, Telefonica Research’s Senior Research Scientist Eduard Marin Fabregas provided a bit of a history lesson to...
