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 reduce energy use and enable...
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 Lite, a mobile-friendly Korean LLM, to...
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 the rise of AI...
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 to enhance customer care....
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 hard-coded logic and domain-specific scripts.
Hybrid...
As 5G and AI continue to transform the telecommunications landscape, ZTE has rolled out solutions to build an L4 autonomous network powered by AI. With a focus on four key areas and six innovative projects, this collaboration is set to revolutionize broadband operations by...
Human-in-the-loop control is urgent as AI is unleashed on ever-more critical systems – and as it becomes more sophisticated with multi-modal generative AI and distributed agentic AI.
Human oversight – remains critical in AI telecom infrastructure, ensuring ethical compliance, reducing risk, and refining AI models...
From call centres to back-office systems, telcos are navigating the shift from predictive machine learning to generative AI, balancing innovation with caution in critical environments.
Model adoption – there are three phases of model adoption: from third-party tools, to on-prem solutions, to hybrid models with...
AI is transforming telecom operations – from slashing customer resolution times to orchestrating real-time energy savings, reshaping both service delivery and network management.
In sum – what to know:
Auto systems – ML efficiency tools are evolving into semi-autonomous systems to resolve service issues and automate...
AI isn’t just reshaping data centers — it’s transforming the very networks we rely on at home and work. Amidst the massive investment in Artificial Intelligence (AI) infrastructure, it’s becoming increasingly clear how important this technology will be for delivering new services, optimizing processes,...
For telcos, the surest AI wins come in their operational heartlands – streamlining customer care, enhancing enterprise services, and turning network data into actionable insights.
System support – AI in telecom has primarily advanced in low-risk OSS/BSS, focusing on customer care and network optimization.
Operator models...
Dell Technologies World 2025 underscored a defining theme of the AI era: the infrastructure challenge is of course about scale, but it's also about access. With the Dell AI Factory solution set now in the hands of 3,000 customers, Dell’s next move is to...
Leveraging UBR and M-MIMO pioneer solutions, ZTE helps operators cover more bands with fewer radio units, boosting capacity while reducing space and costs
ZTE offers diversified solutions to enhance user experiences by delivering ultra-fast uplink speeds, high-capacity indoor coverage, and extended signal reach in challenging areas...
Ericsson said that the combined offering would integrate its enterprise wireless solutions, including 5G and SD-WAN technologies
In sum – what to know:
Ericsson and Supermicro team up – The two firms plan to offer integrated 5G and edge AI systems to help enterprises deploy AI...
From cloud migration to AI integration, five forces are reshaping global enterprise telecom strategies
It’s nothing new that with strong communications comes business success. However, the nature of strong communications in the post pandemic workplace has changed dramatically, with technologies and tools almost unrecognizable compared...
Motorola, once a telecom giant, nearly collapsed in 2011 — instead, it split into Motorola Solutions and Motorola Mobility
The Motorola story is one we can all learn from. It has had its highs and lows, and once again, it is reinventing itself. That calls...
AI adoption in telecom is accelerating, with CSPs moving from conceptual ideas and experimentation to real-world deployments. RCR Wireless News' Telco AI Forum 2025 brings together global industry leaders to explore how agentic AI, inferencing, LLMs, AI-RAN and edge computing are transforming network automation,...
AI is helping CSPs optimize networks, predict maintenance needs, and automate operations to reduce costs and enhance service reliability. With AI-driven customer experience management, CSPs can personalize interactions, anticipate churn and streamline support—boosting customer loyalty. By operationalizing AI with AIOps frameworks, CSPs can efficiently...
The telecom industry is evolving, embracing hyper-automation, AI, and cloud-native technologies to unlock new monetization opportunities. Networks are becoming more complex. Operators must manage fragmented workloads across multi-cloud environments, optimize edge infrastructure, and enhance automation and interoperability to ensure readiness for 6G. They are...
In the early heyday of Open RAN, experts were predicting rapid growth and adoption worldwide. As the overall telecommunications market contracted, however, these predictions failed to fully materialize and initial 5G Open RAN deployments fell short of industry expectations. But now a second wave...
Artificial intelligence is dominating discussions across the telecom landscape, as the industry grapples with how and where to apply AI to improve efficiency or performance. AI is expected to be one of the foundational concepts for 6G, which is expected to have an “AI-native”...
With its MixMaster AI bartender demonstration, Dell Technologies showed how on-device, multi-modal AI can turn storytelling and personalization into an experience
The best bartenders don’t just pour drinks—they craft experiences. But what if your next favorite cocktail came not from a person, but from a...
In the push to AI-native networks, CSPs are investing in network automation tools to improve efficiency and network performance
As communication service providers (CSPs) evolve toward more agile, AI-native operations, three industry leaders—Amdocs, Dell Technologies, and Red Hat—have joined forces to deliver an integrated, AI-powered...
With the AI for Telecom suite, Dell Technologies and NVIDIA equip CSPs to boost efficiency, improve customer experience and unlock new revenue streams
The telecommunications sector is undergoing rapid transformation, and artificial intelligence (AI) is at the heart of it. As networks become more complex...
