AI is shifting from training to inference, and two pressures now define the business: the end-user experience and the return on investment. RCR’s AI Infrastructure Forum returns to ask: can …
From RAN Simulation Digital Twins to the Self-Aware, Agentic RAN How VIAVI AI RAN Scenario Generator (AI RSG), App Twin ADK, Application Validation Engine (AVE), and Claude Accelerate AI-Native Networks …
Agentic AI applications can move from a text prompt to live audio or uplink video in moments. As these experiences become more interactive and context-aware, the connectivity they need can …
AI-RAN now has measurable radio gains, but the investment case changes sharply with where capacity is constrained. Software on the installed RAN has the clearest near-term economics, while accelerated platforms …
As AI data centers scale, the way computing resources connect is becoming increasingly important to infrastructure performance and business value. High-performance XPUs are being deployed to support AI training and …
Starlink Mobile’s real constraint might not be satellite coverage but capacity per square kilometer. A new model, offered up by Vish Nandlall, suggests where population density forces satellite service back …
As NTN moves from proof of concept to commercial reality, the industry faces critical questions around business models, spectrum, device readiness, network architecture, interoperability, testing, and service assurance. From direct-to-device …
The Hugging Face intrusion by AI agents raises a harder question: can systems learn to evade the safeguards designed to control them? Vish Nandlall argues that falling violation rates may …
Ask an engineer why an AI project stalled, and the answer is rarely the AI model. It’s the rift between the model and network. The model has no operational context, …
As artificial intelligence and radio access networks (RAN) increasingly converge, ZTE believes operators should distinguish between two different approaches: “AI for RAN,” which improves the radio network itself, and “RAN …
Artificial intelligence is rapidly becoming the defining force behind the next generation of mobile networks. The deployment decisions operators make today will shape their ability to adopt new AI capabilities, …
From tokenmaxxing to token discipline: Orange considers how to measure the efficacy of agentic AI in network operations Orange Fellow and VP of Cloud and Software Engineering Philippe Ensarguet recently …
Wireless communications are being stretched to new limits across a host of uses and technologies: From preparation for 6G cellular networks and implementation of AI in the RAN, to current …
The move toward 6G marks a shift from faster networks to intelligent, purpose-driven infrastructure. This webinar will explore how emerging capabilities like AI-native architectures, sub-THz spectrum, integrated sensing, and multilayer security …
Meeting the demands of the AI and autonomous networks era Executive SummaryThis solution profile of Ericsson Adaptive Inventory (EAI) updates Appledore’s 2023 profile. Over the past three years, the role …
For many MVNOs, growth brings new opportunities – but it can also introduce new operational challenges. Expanding into new markets, building relationships with roaming partners and delivering a consistent customer …
The RAN is entering a new phase where the principles of openness, the flexibility of cloud-native architectures, and the power of AI converge. Open RAN has laid the foundation for …
AI has overtaken networking as a top concern for industrial leaders. Massive data workloads are putting pressure on legacy infrastructure never designed to support them — and industries risk falling …
Broadband expansion is rarely a choice between one technology and another. The right approach depends on where you’re building, who you’re connecting, what infrastructure is already in place, and what …
The AI supercycle is turbocharging investment as companies in virtually every sector accelerate their plans. Moving fast is an imperative when the entire market is enthusiastically pursuing its AI futures. …
AI workloads are reshaping data centers and cloud networks, driving unprecedented demands on scale, performance, and resiliency. Scale-up, scale-out, and scale-across connectivity models are redefining how GPUs, racks, and data …
In 2026, the quantum risk horizon moved — not because of a scientific breakthrough, but because of vendor behavior. Google pulled its post-quantum cryptography migration forward from the early 2030s …
Intent and knowledge as the foundation for decision-safe network operations This paper aims to advance industry discourse on Level-4+ autonomous networks by challenging a persistent assumption: that autonomy can be …
Discover how a unified cloud, data, and AI platform can unlock greater intelligence, operational agility, and innovative 5G services for your business. Accelerate your OSS/BSS transformation today. Download the report …
“The next billion dollar growth engine for Communications Service Providers (CSPs) is the digitalization of mission critical verticals, and a modern OSS and BSS solution is the key to unlock …
