Assurance

NGMN’s latest operator-led guidance frames simplification as a precondition for 5G efficiency, sustainability and service agility—not an optional clean-up exercise. NGMN’s new Framework for Network Simplification – An Operator View argues for targeted simplification across radio, core and transport to contain this sprawl while preserving the ability to launch differentiated services. The alliance places cloud‑native design, federated service exposure and AI‑driven operations at the center of that shift, supported by agile ways of working. Simplification is how operators square the circle—cut carbon and cost, while accelerating innovation. The publication offers a practical, non-prescriptive method to decide where simplification delivers the most benefit, and when complexity risk outweighs near-term gains.
Liberty Global and Google Cloud have signed a five-year agreement to deploy AI at scale across Liberty Global’s European footprint and to advance hybrid cloud, autonomous networks, and new go-to-market plays. The partnership spans roughly 80 million fixed and mobile connections across Liberty Global’s operating companies, including Virgin Media O2 in the UK, Telenet in Belgium, VodafoneZiggo in the Netherlands, Virgin Media in Ireland, and Sunrise in Switzerland. On the network side, the companies will co-develop AI-first programs aimed at reliability, security, scalability, and cost efficiency. Commercially, the parties will target SMEs with a joint portfolio that combines connectivity with cloud, cybersecurity, and AI services.
Amdocs is launching aOS, an agentic operating system for telecom, to move CSPs from AI pilots to production-scale, cross-domain automation. Amdocs’ aOS targets that gap with a multi-agent architecture that automates complex workflows while keeping humans in the loop for policy and final decisions. At the foundation is a “Cognitive Core” that manages telco-specific knowledge, agent libraries, and guardrails. aOS pricing will lean on outcome-based SLAs, tying spend to measurable business impact such as resolution rates, handle-time reductions, activation velocity, or assurance KPIs. aOS is Amdocs’ bid to make agentic AI the connective tissue of telco operations.
The next wave of digital transformation will be defined by AI workloads riding on cloud and edge infrastructure over 5G networks, and that shift will change how networks are built, monetized, and secured. Generative and agentic AI move more compute into the network, creating persistent, uplink-heavy, low-latency flows rather than the mostly downlink, best-effort traffic of the smartphone era. Video from cameras, glasses, and sensors feeds models at the edge and in the cloud; results return in milliseconds to people and machines. That means tighter latency budgets, deterministic jitter control, and stronger guarantees for both throughput and reliability.
France’s three other mobile network operators—Bouygues Telecom, Free-iliad and Orange—have reopened negotiations with Altice to carve up most of SFR, reviving a complex deal that could reshape competition, capex and customer experience across the market. The operators confirmed they are conducting due diligence with Altice after re-engaging in early January 2026, stressing that legal and financial terms remain undecided and that there is no assurance of a transaction. A successful transaction would compress the French market from four to three MNOs, with material consequences for pricing power, 5G/fiber investment, vendor ecosystems and enterprise buyers. Consolidation momentum is building across Europe, evidenced by recent approvals of large transactions with stringent remedies. Altice has been under sustained pressure to reduce debt following restructurings and asset sales.
The European Commission’s Digital Networks Act (DNA) is a sweeping proposal to harmonize telecom rules, catalyze next‑generation investment, and turn 27 national markets into a functional single market for connectivity. The DNA is timed to underpin an AI‑driven economy that depends on fiber, 5G/6G, and low‑latency cloud‑edge fabrics spanning borders. Longer licence durations and more flexible sharing are intended to reduce renewal risk and unlock investment in 5G densification and 6G prep. Mandatory national plans to phase out copper between 2030 and 2035 will free OPEX and energy, but require careful migration of regulated wholesale products, vulnerable users, and critical services.
AI in telecom is often treated as a cost-saving tool. The leaders treat it as a business engine. Discover how AI at the heart of OSS reshapes operations, monetization, and customer engagement in one closed loop. Cutting costs with AI is easy. Compounding value with AI is hard. Learn how forward-looking operators embed AI into OSS to unlock sustained growth, resilience, and differentiation.
The latest 3GPP cycle consolidates 5G-Advanced (Release 18), sets the agenda for Release 19, and frames early 6G studies, with direct implications for operator investment, enterprise use cases, and vendor roadmaps. Release 18, the first phase of 5G-Advanced, is moving from standards completion into implementation, bringing carrier-grade enhancements in spectral efficiency, energy savings, and mobility performance. Release 19 now builds on these foundations, prioritizing further RAN efficiency, XR and video delivery at scale, richer analytics/exposure in the core (NWDAF, NEF/CAPIF), and enterprise-grade reliability across private and public networks.
IBM has agreed to acquire Confluent for $31 per share in cash, signaling a decisive move to make real-time, governed data the backbone of generative and agentic AI across hybrid cloud environments. The transaction values Confluent at an enterprise value of roughly $11 billion, with closing targeted by mid-2026 pending shareholder and regulatory approvals. Together they aim to unify application, data, and AI pipelines across public clouds, private data centers, and edge locations—reducing integration friction and accelerating time to value for enterprise AI.
New data points to a step-change in cellular IoT adoption as 5G broadens into mid-tier and massive-scale use cases while 4G-era LPWA keeps expanding. Omdia forecasts cellular IoT connections to reach roughly 5.9 billion by 2035, driven by expanding addressable use cases across industrial automation, utilities, transportation, retail, and consumer-adjacent categories such as wearables. The growth profile is no longer tied only to premium 5G performance; instead, scaled adoption is coming from three complementary pillars: 5G RedCap for mid-tier performance at lower cost, 5G Massive IoT (evolving NB-IoT/LTE-M under a 5G core), and 4G LTE Cat-1bis for low-cost devices that still require voice or moderate throughput.
New consumer research commissioned by Viasat and executed by GSMA Intelligence signals that non-terrestrial networks (NTN) are becoming a mainstream buying factor for mobile subscribers. The survey of more than 12,000 smartphone users across 12 countries finds persistent coverage gaps: over a third of respondents lose basic cellular service multiple times per month. That pain point is translating into intent. Roughly six in ten consumers say they would pay extra for satellite-enabled connectivity on their phones, and nearly half indicate they would switch operators if out‑of‑coverage service were included in their plan. On average, those willing to pay would accept a 5–7% uplift on their current monthly bill, with outliers such as India approaching a 9% premium.
Work at local distribution points often triggers unintended service cuts, driving spikes in complaints, repeat truck rolls, and SLA penalties. By empowering on-site technicians to detect and remediate cuts instantly—rather than wait for back-office workflows—operators can compress mean time to repair, avoid secondary visits, and reduce inbound support volume. The result is fewer avoidable outages and a more predictable experience for consumers and businesses using fiber for VPN, SD-WAN, and cloud access. Previous collaboration (Lot 1) notified operators when their customers were impacted by nearby work, but the model was still largely reactive. Lot 2 integrates detection and authorization directly into technicians’ mobile tools.

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