Private 5G business cases are usually built with care: radios counted, spectrum priced, TCO compared against the Wi-Fi estate it replaces. What they rarely price is the cost...

Spectrum access shapes cost, control, and deployment speed more than almost any other private 5G decision. This guide compares directly licensed spectrum, CBRS-style shared access, other national shared...

Private 5G has become mainstream industrial infrastructure, but the decisions behind a deployment — architecture ownership, spectrum access, vendor selection, cost modelling, and rollout planning — are still...

India's telecom regulator now requires operators to treat each 5G eMBB network slice as its own tariff, with mandated disclosure of measured — not advertised — speeds, and...

Lockheed Martin's upcoming 5G drone detection service on Verizon's network, and AT&T's cloud-managed Video Intelligence platform, both point at physical security AI capabilities moving from owned, standalone systems...

As utilities scale private LTE, 5G, and industrial IoT across operational technology environments, the attack surface is scaling with them. TeckNexus examines the security gap documented across the...

SK Telecom's SK Hyper AI data centre unit, targeting 5 gigawatts of capacity by 2029 and 15 gigawatts by 2035, comes with unusually specific technical architecture detail: a...

A year of AI-RAN pilots, proprietary model launches, correlated failure research, and sovereignty deals points to the same conclusion: capability claims aren't enough. Here's how to structure an...

The FCC’s latest annual Section 706 report indicates that competitive dynamics are contributing to wider broadband deployment and higher data speeds across the United States.

Pegasystems outlines that CSPs scaling GenAI will see rising inference spend as tokenized usage grows with agentic loops, retrieval, and context expansion, despite falling unit token prices. The analysis quantifies typical interaction costs (~$0.016 per 2,400 tokens; ~$160k per month for 10M interactions) and notes ~40% of tokens fund retrieval rather than business logic. It highlights latency and auditability pressures and recommends decision-tier routing and pre-invocation governance to choose rules, small models, or frontier LLMs based on complexity, risk, and value.