Telco AI

Verizon and T-Mobile US announced new CEOs — will AT&T? The world of telecom and wireless investment has undergone significant changes. Now, it looks like a change of CEO leadership and rapid growth in AI, the next wave of transformation …

Telcos have a tremendous opportunity to lead the AI economy Telcos are no longer just connecting people. They are orchestrating intelligent, end-to-end experiences that are reshaping entire industries. At the heart of this transformation is agentic AI — autonomous, context-aware …

SK Telecom is restructuring its new AI division and doubles down on infrastructure In sum – what to know: AI-first pivot – SK Telecom is restructuring its new AI division just weeks after launch, consolidating units and offering voluntary retirement as …

CSPs face mounting complexity as virtualized networks, hybrid infrastructure, and surging alerts overwhelm operation Communications service providers (CSPs) face a growing storm of complexity: virtualized networks, hybrid infrastructures, surging alert volumes, and relentless uptime expectations. Operations teams are stretched thin, …

In the AI era, telcos are rethinking infrastructure, accelerating innovation, and redefining revenue models — and Nvidia is positioning itself as a key enabler Telecom has never been known for rapid transformation. For decades, operators have built networks in predictable …

Telecom customer experience has evolved from basic metrics to real-time, data-driven, personalized engagement While not always perfect, customer experience in the telecommunications industry has come a long way, and it continues to improve. What was once measured by basic metrics …

The global mobile communications industry is entering a new phase defined by rapid 5G-A deployment and the deep integration of artificial intelligence, with operators beginning to see commercial value and new business models taking shape, Eric Zhao, Vice President and …

An interview with Li Xiaotong, Vice President of ZTE Corporation In the rapidly evolving landscape of telecommunications, we stand at the threshold of a transformative era where artificial intelligence and 5G-Advanced technologies are converging to reshape the very foundation of …

AI chats being publicly searchable. People falling in love with customer service bots. The risks of generative AI threaten the rewards — but trust might be a competitive edge. As AI adoption escalates and enterprises weigh where to put their investment …

Instead of simply carrying packets from one endpoint to another, a Neighborhood AI Factory is also running inference and training between humans and AI You’ve probably driven past one without realizing it. A low, windowless brick building next to a …

What you should know: At Qualcomm Technologies, we’re leading the charge in cutting-edge innovations. Whether it’s wireless technologies for ubiquitous connectivity, artificial intelligence (AI) for the new user interface (UI), or extended reality (XR) for immersive experiences, we’re driving critical …

The Gen AI Divide report from the MIT NANDA initiative reveals a major lack of ROI on gen AI projects A recent report from the Massachusetts Institute of Technology (MIT)’s Networked Agents and Decentralized AI (NANDA) put forward some numbers …

SoftBank said that the demonstration results show that high-performance AI models and GPUs are indispensable for achieving 5G-Advanced and 6G performance In sum – what to know: 30% boost in 5G throughput – Transformer-based AI improved real-world uplink performance compared …

AI adoption in telecom is accelerating, with telcos moving from experimentation to real-world deployments. The focus is now on refining AI use cases, growing business strategies and unlocking real ROI. RCR Wireless News‘ latest market pulse report explores the latest innovation …

Telcos face both a challenge and an opportunity in handling the unique traffic patterns and demands of AI-generated content, especially at the network edge. In sum – what to know: Traffic challenge – uncached, on-the-fly AI content strains networks and …

Telcos are seizing the AI moment by transforming old infrastructure into edge assets and positioning themselves as critical players in the AI value chain. In sum – what to know: Edge opportunity – telco assets like metro hubs and co/lo …

The rise of smaller, cheaper AI models is pushing AI closer to the edge, but telcos must weigh placement and ROI carefully amid escalating infrastructure investments just to make AI networks capable. Edge efficiency – smaller models and edge deployments …

SK Telecom said AX 3.1 Lite offers Korean language capabilities on par with its larger sibling, AX 4.0 Lite, which has 72 billion parameters In sum – what to know: SKT goes open source – SK Telecom released AX 3.1 …

The mobile communication industry stands at the threshold of profound transformation, driven by the rapid evolution of artificial intelligence (AI). The widespread adoption of open-source AI large models, such as DeepSeek, is making powerful capabilities accessible to more people, while …

Agentic AI success in telecom depends on the availability of meticulously curated, multi-domain data derived from network transactions and interactions Agentic AI tops many telecom providers’ strategic objectives for 2025. Recognizing its potential, some providers are already investing in AI agents …

Agentic AI gets closer to proper autonomy, but its success depends on the combination of large-scale centralized intelligence and highly-tuned small-scale models in distributed edge environments.  Dynamic reasoning – current agentic AI models lack proper dynamic reasoning and rely on …