Policy

AT&T, Cisco and NVIDIA Deliver Network-Driven Edge AI

AT&T, Cisco and NVIDIA Deliver Network-Driven Edge AI
AT&T’s new collaboration with Cisco and NVIDIA signals a decisive shift from cloud-centric AI to network-driven edge intelligence for enterprise operations. Enterprises want real-time decisioning without shipping sensitive data to distant clouds, and operators need a scalable way to deliver it. By combining AT&T’s dedicated IoT core with Cisco’s mobility services platform and NVIDIA-powered AI infrastructure, the trio is packaging deterministic connectivity, near-device inference, and policy enforcement into a single, operator-grade platform. The promise: lower latency, tighter data control, and a path to production for AI at industrial scale.

AT&T $250B Investment in U.S. 5G and Fiber

AT&T $250B Investment in U.S. 5G and Fiber
AT&T’s five-year, $250 billion U.S. network commitment sets the tone for the next phase of fiber, 5G, and satellite convergence as traffic, AI workloads, and resilience requirements climb sharply. The 2026–2030 window aligns with the industry’s transition into 5G-Advanced (3GPP Release 18/19), the scaling of edge AI, and increased cloud traffic between homes, enterprises, and hyperscalers. Data growth is no longer linear, and the cost of downtime is rising. Large, front-loaded builds in fiber and 5G Radio Access Network (RAN), paired with new satellite overlays, are how national carriers will chase coverage, performance, and reliability targets simultaneously.

Cargill Scales Private 5G with NTT DATA

Cargill Scales Private 5G with NTT DATA
NTT DATA’s private 5G rollout across 50 Cargill facilities signals that industrial connectivity is moving from pilot projects to standardized, multi-site execution. NTT DATA has deployed private 5G at Cargill manufacturing and processing locations worldwide—mostly in the United States with live sites in Europe—enabling a connected workforce, robotics, and edge AI across plants that are often too large and complex for conventional Wi‑Fi or wired networks to cover reliably. Manufacturers are consolidating on common digital platforms and need predictable, low-latency wireless for operational data, mobile human–machine interfaces, and autonomous systems; private 5G—built on 3GPP standards with SIM-based security and policy-based QoS—offers deterministic performance at scale where legacy networks struggle.

5G Healthcare at Scale: GSMA Foundry and NUHS

5G Healthcare at Scale: GSMA Foundry and NUHS
A new collaboration between GSMA Foundry and Singapore’s National University Health System (NUHS) aims to operationalize connected health at scale, with Ericsson and Singtel anchoring the 5G foundation. Healthcare digitization has moved from pilots to production, but most sites still struggle with deterministic connectivity, secure data exchange and workflow integration. The program combines private 5G with digital twin, XR, IoT and ambient AI to improve outcomes and operational resilience across care pathways. Early focus areas include 5G-enabled remote surgical assistance with ultra-reliable, low-latency links; immersive XR training and simulation that compress learning curves; autonomous and semi-autonomous robotics for logistics and point-of-care tasks; and AI-guided imaging such as vein visualization.

SK Telecom ATHENA: AI-Native 6G Blueprint

SK Telecom ATHENA: AI-Native 6G Blueprint
SK Telecom introduced ATHENA—an architecture grounded in AI-native operations, Zero Trust security, hyper-connectivity, openness, and cloud-native design—to guide mid- to long-term evolution across RAN, core, transport, and network data platforms. The operator positions “AI for network” and “network for AI” as dual tracks: the former embeds AI into decision loops for autonomous optimization, while the latter tunes the network fabric to serve AI workloads efficiently. SK Telecom will showcase related technologies at MWC Barcelona 2026, including AI agents for networks, AI-RAN for combined connectivity and compute, device-side AI for antenna tuning, and integrated sensing-and-communications.

European Edge Federation: DT, Orange, Telefónica, TIM, Vodafone

European Edge Federation: DT, Orange, Telefónica, TIM, Vodafone
Deutsche Telekom, Orange, Telefónica, TIM, and Vodafone unveiled a live, pan‑European edge federation at MWC 2026, marking a practical step toward an interoperable edge cloud that spans national borders. The five largest European operators demonstrated the European Edge Continuum, a federated edge capability now running in lab and pre‑production environments. The initiative provides a single entry point to deploy and manage applications across multiple operators’ edge nodes, with automated placement, security controls, and mobility‑aware continuity. The platform draws on components developed under the IPCEI‑CIS program backed by the EU’s NextGenerationEU funds, and is positioned for industrialization and commercial rollout next.

Deutsche Telekom telco cloud cuts 5G core energy by up to 65%

Deutsche Telekom telco cloud cuts 5G core energy by up to 65%
Deutsche Telekom’s early live results showing up to 65% energy savings in its 5G core spotlight a pragmatic path to cut opex and carbon as traffic surges and standalone 5G scales. Operators have wrung out much of the easy efficiency from hardware refreshes; the next gains come from software-driven, demand-aware control. DT is applying that logic to the core, shifting components to run only when needed rather than idling at full power. The results are enabled by DT’s “Horizontal Telco Cloud,” a unified, standards-based platform that replaces fragmented stacks with one common layer for core services. Initial live-network tests have been completed, with broader rollout planned and further detail expected at MWC Barcelona 2026.

Nokia and AWS Launch Agentic AI for 5G-Advanced Network Slicing

Nokia and AWS Launch Agentic AI for 5G-Advanced Network Slicing
Nokia and Amazon Web Services (AWS) are bringing agentic AI to 5G-Advanced network slicing, moving closed‑loop, intent-based services from PowerPoint to live pilots with du and Orange. The partners unveiled an agentic AI-powered slicing solution that fuses Nokia’s RAN-to-core slicing, AirScale radio, and MantaRay SMO with AWS’s Bedrock AI platform and EKS Hybrid Nodes to turn external context—events, traffic, maps, weather—and live network KPIs into real-time policy decisions. The result is adaptive, premium slices provisioned when and where they’re needed, without manual reconfiguration.

Claude Code Security: AI finds 500+ vulnerabilities

Claude Code Security: AI finds 500+ vulnerabilities
Anthropic has introduced Claude Code Security, an AI capability that reviews codebases, flags complex vulnerabilities, and proposes patches with human oversight, and its early results should change how security leaders plan for AI on both offense and defense. Anthropic reports that its latest Claude Opus 4.6 model helped uncover more than 500 vulnerabilities in production open-source projects, including issues that had persisted for years. The product centers on high-signal findings, structured triage, and human-in-the-loop remediation so it can slot into existing DevSecOps workflows.

KDDI & Nokia: Quantum-Safe Optical Transport for AI DCI

KDDI & Nokia: Quantum-Safe Optical Transport for AI DCI
KDDI and Nokia validated quantum-safe optical transport at KDDI’s new Sakai Data Center, a facility built to support real-time AI training, inference, and analytics. The demonstration used Nokia’s 1830 Photonic Service Switch with C+L band capabilities for capacity scaling and the 1830 Security Management Server for centralized key and policy control. The goal is clear: deliver high-throughput, low-latency, and line-rate encrypted data center interconnect (DCI) that is resilient against both today’s threats and tomorrow’s quantum-era risks. Encrypting at the optical layer removes the performance penalties of application or IP-layer encryption and avoids fragmenting security by workload.

Infosys and Anthropic Claude: AI Agents for Telecom

Infosys and Anthropic Claude: AI Agents for Telecom
A new partnership between Infosys and Anthropic brings agentic AI into regulated, process-heavy industries, with telecom squarely in scope. Infosys will integrate Anthropic’s Claude models and Claude Code with its Topaz portfolio to build and operate enterprise-grade AI solutions across telecom, financial services, manufacturing, and software engineering. The collaboration emphasizes agentic AI—systems that can plan, call tools, and execute multi-step workflows with oversight—delivered with the controls, auditability, and policy enforcement that regulated sectors demand. Pairing Infosys’s domain depth with Claude’s reasoning and long-context capabilities gives operators a path to pragmatic automation that respects regulatory, safety, and transparency requirements.

India’s AI stack needs AI-native networks: Ericsson CTO

India’s AI stack needs AI-native networks: Ericsson CTO
India’s AI agenda increasingly spans silicon, data platforms, models, and applications, with an intent to catalyze domestic innovation and contribute to global ecosystems. For telecom leaders, the message is clear: AI is not a bolt-on capability but a system-level transformation that touches RAN, core, transport, cloud, and the enterprise edge. The AI economy runs on connectivity—low-latency access to data, assured bandwidth, location-aware processing, and programmable control. The operators that can fuse connectivity, compute, and data into a cohesive platform will set the pace for India’s next wave of digital growth.
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