Orchestration

Deutsche Telekom's transition from Ericsson to Mavenir as its primary 5G standalone core provider represents a fundamental rethinking of how Tier 1 operators architect and operate networks in the cloud-native era. Mavenir now carries all standalone 5G traffic in Germany, while Ericsson handles legacy 4G and non-standalone 5G. Driven by the Horizontal TelCo Cloud initiative, the shift has already produced measurable results including 65% energy savings in live testing and three commercial network slicing deployments, with Apple FaceTime set to leverage these capabilities at consumer scale via iOS 26.
P‑CAL’s secure mesh provided resilient communications across a complex yard, validating control loops and telemetry in the presence of interference, variable traffic density and human activity. As deployments scale, many terminals will adopt hybrid connectivity: private 5G for wide‑area mobility and interference resilience, Wi‑Fi/Wi‑Fi 6E/7 for indoor assets, and mesh for redundancy in hard‑to‑reach zones. This mirrors global port trends, where operators are rolling out private 5G to support autonomous trucks, AI‑driven analytics, drones and mobile cranes. Expect edge compute (MEC) on‑premises to host perception, fleet orchestration and video intelligence with strict latency and data‑sovereignty requirements.
SK Telecom is reorganizing around artificial intelligence to accelerate a B2B push, with a sharp focus on public sector and defense opportunities in South Korea. At a town hall marking six months in the role, SK Telecom’s CEO signaled a decisive shift: make AI the company’s growth engine and align operations, culture, and go-to-market around enterprise needs. The operator outlined an organizational, technology, and culture overhaul to strengthen competitiveness across B2B AI. The company will scale its AI data center footprint by combining capabilities from SK Group affiliates and global partners. SK Telecom advanced its in-house foundation model to a second phase.
Intel and Google expanded a multiyear partnership that doubles down on Xeon CPUs and custom infrastructure processing units to scale AI with better efficiency and predictability. Google committed to multiple generations of Intel Xeon for AI, inference, and general-purpose workloads across its global cloud. The latest Xeon 6 processors are already powering Google Cloud’s workload-optimized instances, including C4 and N4, to coordinate large-scale training, serve latency-sensitive inference, and run mainstream compute. In parallel, the companies will broaden co-development of custom ASIC-based IPUs that offload networking, storage, and security from host CPUs to improve utilization and deliver more stable performance at hyperscale.
ETSI has introduced OpenOP Release 1 as an open-source operator platform for telco cloud, designed to standardize capability exposure and federation at the edge while creating a practical bridge from 5G-Advanced to early 6G experimentation. Networks are becoming software-first and distributed, but operators still face fragmented exposure of network capabilities and inconsistent approaches to multi-operator edge. OpenOP targets this gap with a standards-aligned, open implementation that lets developers consume telecom capabilities via CAMARA APIs and deploy applications across federated edge zones. Release 1 provides a working, end-to-end baseline with integrated components for exposure, orchestration, federation, and AI-assisted intent, suitable for hands-on testing and integration.
Orange Business is putting authenticated, AI-augmented voice back in the critical path of CX and employee workflows as enterprises confront fraud, fatigue, and falling answer rates. As digital touchpoints proliferate, the phone channel faces a crisis of confidence: spoofed identities, impersonation scams, and AI-generated content have eroded user trust and pushed customers to ignore legitimate calls. Despite surging chat and self-service volumes, voice remains the preferred medium for resolving complex or high-stakes problems, and the most-used channel for many service agents. The new capabilities combine authenticated caller identity, deepfake detection, generative AI in the contact center, and agentic telephony that can autonomously manage call flows.
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.
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 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.
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 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.
Ericsson has introduced an agentic rApp delivered as a cloud service on Amazon Web Services (AWS), aiming to speed operators’ shift from manual automation toward truly autonomous networks. By offering an “Agentic rApp as a Service” on AWS, Ericsson is packaging policy-driven and AI-assisted RAN optimization as a managed, cloud-delivered capability. Agentic capabilities bring reasoning, planning, and action-taking to operations. Running rApps on AWS offers elasticity, global reach, and faster release cadence. The goal: faster onboarding, lower integration friction, and a more repeatable path to closed-loop assurance across multi-vendor 4G/5G networks.

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