Reports

O2 Telefónica has announced a strategic shift in its 5G core network operations, becoming the world's first telecommunications operator to migrate production-scale network functions to AWS Outposts deployed within its own data center. This new solution integrates Nokia's 5G core network technology with AWS infrastructure, aiming to realize a hybrid cloud architecture. The deployment currently serves 1 million customers and operates in parallel with the existing 5G core network. Its key advantage lies in combining the innovation speed of cloud infrastructure with the low latency and data residency requirements of on-premises deployment, thereby enhancing network stability, flexibility, and technical independence. Technically, O2 Telefónica leverages AWS machine learning services, including LLMs from Amazon Bedrock, and Amazon Bedrock AgentCore to build AI agents for automating complex 5G maintenance workflows, such as the agentic clearance of incident tickets and alarms, and works towards a vision of agentic AI-based autonomous networks. Furthermore, the company is migrating its virtualized IP Multimedia Subsystem (vIMS) to AWS and co-developing a comprehensive CI/CD automation framework with AWS to accelerate feature delivery. **Comment**: This case marks a new phase of "hybrid control" in telecom cloudification, where operators increasingly demand control and data sovereignty over core networks while pursuing cloud agility. The AWS Outposts solution provides a viable path for operators to balance "cloud migration" and "autonomy," particularly suitable for markets with strict data localization and low-latency requirements. Its integration with AI-driven automation (Agentic AI) is a key practice towards autonomous network operations, and its subsequent performance metrics warrant attention from peer operators.

AT&T and Amazon Web Services (AWS) have announced a preview of a new solution called "AWS Interconnect – last mile," designed to provide resilient and scalable last-mile connectivity for business-grade AI workloads. The solution extends AT&T's 5G and fiber networks directly into AWS cloud environments, creating an end-to-end secure architecture from enterprise premises to the cloud. The core objective is to reduce network complexity and latency, engineered specifically to support latency-sensitive, data-intensive use cases such as real-time analytics, machine learning, and agentic AI. By embedding AT&T-delivered connectivity directly into AWS workflows, customers can provision and manage last-mile connectivity within the AWS environment, laying the foundation for AI agents to monitor and manage the AI experience. AT&T is building an AI-ready network, scaling performance by expanding capacity up to 1.6Tbps across key metro and long-haul routes to ensure reliability. The preview is scheduled to be available to qualifying customers in select areas in Q2 2026, with plans to expand availability thereafter. **Comment**: This is a typical deep practice of "cloud-network integration," directly addressing the network bottlenecks enterprises face when moving AI from experimentation to production. By integrating network management into the cloud provisioning process, the solution enables cloud-based self-service for the "last mile," which is expected to significantly improve the efficiency and control of enterprise AI deployment at scale. It represents a significant move for cloud providers and telecom operators to jointly explore the enterprise AI market.

NTT DOCOMO, in collaboration with AWS and NEC, has launched the Asia-Pacific region's first commercial 5G Core network on a hybrid environment combining AWS cloud and its on-premises NFV infrastructure. This solution leverages AWS's Agentic AI capabilities to dramatically improve network deployment and operational efficiency. For deployment, DOCOMO utilizes an agentic AI system built on Amazon Bedrock AgentCore and the Strands Agents open-source framework. By employing Model Context Protocol and GitOps, the system automates 5G Core deployment on AWS, reducing deployment time by approximately 80%. The network is built on AWS Graviton processors, known for their energy efficiency. For operations, DOCOMO launched an end-to-end mobile network operations AI system. This system aggregates and analyzes traffic and alarm data in real-time from over 1 million network devices (from base stations to the core) using AWS managed services like Amazon Neptune. By automating anomaly detection and remediation planning, it reduces response time for complex network incidents by about 50%, ensuring stable services. This deployment establishes next-generation infrastructure supporting DOCOMO's 91 million subscribers. **Comment**: This case marks a significant step in the commercial-scale adoption of cloud-native 5G core and AI-driven automation for telecom operators. It validates the viability and value of hybrid cloud architecture for critical telecom workloads. The "AI agents + cloud-native" solution blueprint provides a clear reference for other carriers seeking network transformation, particularly in enhancing agility and reducing operational complexity.

The PGA TOUR and Amazon Web Services (AWS) have announced an expanded global partnership to leverage AWS AI technologies in transforming the creation, distribution, and fan experience of golf content worldwide. As the Official Cloud Provider, AWS will power next-generation digital features across PGA TOUR platforms. Key technical applications of this collaboration include: 1) **AI-driven shot-by-shot commentary**: Providing real-time analysis for over 30,000 shots per tournament in TOURCAST. 2) **Automated story generation**: Creating personalized content at scale for the PGA TOUR mobile app, such as event recaps for all 150+ players. 3) **Personalized fan hub**: The "favorite players hub," launching this week at the Sony Open, uses AWS tech to automatically curate latest highlights, AI-generated storylines, and real-time stats for fans' followed players. 4) **Global broadcast enhancement**: AWS generative AI will power real-time graphics and statistics within the PGA TOUR World Feed, reaching over 200 countries and territories. The expanded partnership underscores a commitment to creating more immersive, personalized, and accessible golf experiences globally, with AWS also becoming a sponsor of the TOUR's app, website, and World Feed. **Comment**: This collaboration is a prime example of AWS's "Sports + AI" solution, demonstrating the powerful integration of AI in real-time content production, personalized recommendation, and global distribution. It sets a clear path for sports content platforms to enhance user engagement and operational efficiency through deep technological partnerships.

WellSpan Health has announced a comprehensive migration of its entire technology infrastructure, including approximately 7.5 petabytes of clinical and non-clinical data and over 300 applications, from on-premises data centers to AWS, with completion targeted for April 2026. This migration aims to establish a unified, AI-ready data foundation to accelerate innovation and enhance patient care. Key benefits of this solution include: secure, compliant, and tailored architectures from AWS that meet the highest industry standards such as HIPAA; the harmonization of disparate data systems (e.g., unstructured clinical notes and multi-modal datasets) into standardized formats primed for AI applications; and elastic infrastructure enabling dynamic scaling of computing resources to handle demand fluctuations. Post-migration, it is expected to reduce turnaround times for tasks like medical imaging or patient record analysis from days to minutes, reclaiming thousands of hours annually for clinical teams from administrative work and allowing greater focus on patient care. **Comment**: This is a large-scale, full-stack industry cloud migration case. Its core value lies in addressing healthcare data silos through a unified data lake and AI-ready architecture, directly empowering clinical efficiency and AI innovation. For healthcare clients, AWS's commitments to compliance security, AI governance frameworks, and large-scale migration experience are key decision factors.

AUMOVIO and Amazon Web Services (AWS) have announced a strategic collaboration to accelerate the development of safer, smarter self-driving vehicles, with AWS becoming AUMOVIO's preferred cloud provider for autonomous driving development. The core of this partnership is the integration of breakthrough agentic and generative AI capabilities directly into AUMOVIO's autonomous development and validation workflows. This solution addresses a major industry bottleneck by enabling engineers to query massive datasets using natural language (e.g., "show me all cases where pedestrians entered the roadway at night in rain"). The AI surfaces critical safety scenarios and rare edge cases, significantly speeding up the development, testing, and deployment cycle. The new solutions will be first deployed in a significant project to scale autonomous trucks for Aurora, the leader in self-driving freight. Technically, the solution combines AUMOVIO's automotive expertise with AWS's advanced cloud infrastructure and AI services like Amazon Bedrock to process millions of daily road scenarios at scale, identify critical safety patterns, and accelerate improvements in vehicle hazard detection. AUMOVIO will co-develop and manufacture an industrialized, scalable generation of the Aurora Driver system and plans to provide a specialized backup computer starting in 2027 to ensure safety. <b>Comment</b>: This collaboration signifies a deep integration between a cloud provider and a Tier-1 supplier, jointly building a next-generation automotive development paradigm centered on data and AI. Its core value lies in using generative AI to transform vast amounts of data into actionable engineering insights, directly tackling the most time-consuming challenges of data sifting and scenario construction in autonomous driving development, offering a referenceable technical path for industry-scale deployment.

Amazon Pharmacy announced plans to expand its Same-Day prescription delivery service to nearly 4,500 U.S. cities and towns by the end of 2026, adding nearly 2,000 new communities this year. The expansion will reach new states including Idaho and Massachusetts, targeting areas historically affected by pharmacy closures, staffing shortages, and transportation barriers. Leveraging Amazon's logistics network, the service offers varied fast-shipping options. In 2025, delivery speeds improved significantly, utilizing methods from e-bikes and EVs to ferries and horses to serve diverse locations from Manhattan to remote Alaskan towns and the Navajo Nation. In Los Angeles, patients can retrieve medications within minutes via Amazon Pharmacy Kiosks located in One Medical lobbies. On affordability, Amazon Pharmacy helped customers save over $150 million in 2025 by automatically applying manufacturer coupons. Its RxPass subscription ($5/month) offers Prime members free delivery for over 50 common medications, with Same-Day Delivery in eligible areas. The service also provides 24/7 pharmacist access, automatic refills, and the PillPack medication sorting and delivery service. **Comment**: Amazon is leveraging its core logistics strength to systematically address "pharmacy deserts" and convenience through Same-Day network expansion and in-person kiosks. Its "logistics + pharmacy + membership subscription" model sets a new service standard and builds a strong competitive moat via price transparency and savings programs, posing a direct challenge to traditional pharmacies and mail-order services.

AI company Fundamental emerged from stealth on February 5, 2026, announcing $255 million in funding and the public launch of its most powerful Large Tabular Model (LTM), NEXUS. This model is designed to drive predictions from enterprise structured tabular data, positioning itself as the "OS for business decisions." NEXUS is a purpose-built foundation model for tabular data, addressing the limitations of traditional deep learning models (like LLMs) in handling non-sequential, nonlinear relationships inherent in enterprise-scale tables. Built on billions of tabular datasets and trained on Amazon SageMaker HyperPod, it can automatically learn underlying structures, patterns, and dependencies from raw tabular data without extensive feature engineering, claiming significantly greater prediction accuracy than traditional machine learning methods. Fundamental has entered a strategic partnership with Amazon Web Services (AWS). AWS customers can now purchase and deploy NEXUS directly via their AWS dashboard, leveraging AWS's secure and scalable infrastructure. The company has also secured seven-figure contracts with multiple Fortune 100 enterprises for use cases including demand forecasting, price prediction, and customer churn. <b>Comment</b>: The launch of NEXUS signifies the emergence of a new AI category focused on predicting enterprise core tabular data. Its deep integration with AWS will significantly lower deployment barriers for enterprises and is poised to accelerate large-scale adoption across various industries like finance, healthcare, and energy. Its specific accuracy improvements over traditional methods in real-world business scenarios warrant close attention.

AT&T, Amazon Web Services (AWS), and Amazon Leo have announced strategic collaborations to modernize the U.S. connectivity infrastructure by creating a more resilient, adaptive, and future-ready solution through the integration of their respective strengths. The collaboration encompasses three key areas: Firstly, AT&T will migrate workloads from its current on-premises technologies to AWS's managed hybrid cloud offering, AWS Outposts. Utilizing AWS Agentic Services like Amazon Q Developer is expected to accelerate this migration, improving AT&T's operational efficiency and resilience. Secondly, AT&T will connect AWS data center locations with its high-capacity fiber network, strengthening AWS's cloud infrastructure to better support customers building and deploying advanced AI applications at scale. Thirdly, AT&T will collaborate with Amazon's low Earth orbit satellite network, Amazon Leo, to extend its connectivity capabilities and deliver fixed broadband services to business customers in underserved areas. This partnership represents a deep convergence of network and cloud. By combining AT&T's expansive fiber infrastructure with AWS's cloud capabilities, security, reliability, and AI tools, the companies aim to build a more scalable and intelligent connectivity ecosystem. Further details on the collaboration will be shared at Mobile World Congress (MWC) 2026. **Comment**: This is a classic "powerhouse alliance" ecosystem collaboration, vertically integrating a telecom operator's physical network, a cloud provider's computing and AI capabilities, and emerging satellite internet. It aims to create an end-to-end next-generation connectivity solution, serving as a model for infrastructure modernization in the AI era.

Amazon's smart home security brand Ring, in collaboration with the non-profit organization Watch Duty, has launched a new safety feature called "Fire Watch" within the Neighbors section of the Ring App. This feature is designed to provide communities and first responders with real-time, ground-truth information during active wildfire events, addressing the growing threat of wildfires and smoke. The Fire Watch feature comprises three core components: 1) Real-Time Fire Alerts from Watch Duty; 2) AI-Powered Smoke and Fire Detection; and 3) Voluntary Community Contribution. Owners of Ring cameras can opt to voluntarily share periodic snapshots with Watch Duty. This contributes to enhancing Watch Duty's trusted and comprehensive fire reporting and supports first responders on the ground with situational awareness. The feature is scheduled to begin rolling out nationwide in the United States this spring. **Comment**: This feature integrates consumer-grade smart security hardware (cameras) with a professional emergency information network and AI image recognition technology, creating a novel "crowdsourced" model for disaster warning and response. Its key innovation lies in leveraging a vast network of user devices to obtain "ground truth," addressing blind spots and delays in traditional monitoring methods, thereby enhancing community resilience and emergency response efficiency. This model of integrating hardware, data, and community collaboration is noteworthy for the smart home and public safety sectors.

Amazon Music launched its annual “2026 Artists to Watch” global campaign on January 15, 2026, aiming to spotlight 49 emerging artists worldwide who are expected to make a significant impact in the coming year and beyond. These artists span a diverse range of genres including R&B, hip-hop, country, dance, Latin, rock, K-Pop, J-Pop, and classical. Key support measures of the initiative include prominent placement across 28 of Amazon Music's top global playlists such as “Country Heat,” “Platino,” “R&B Rotation,” and “K-Pop Now.” Additionally, a dedicated evergreen playlist has been created to feature all 49 artists, which will be updated throughout the year as new music is released. To celebrate the launch, Amazon Music commissioned seven brand-new “Amazon Music Originals” exclusively for the campaign. These unique recordings include JayDon's cover of Aaliyah's “One in a Million” and VENGAYO's reimagined version of their breakout track “Chikkama,” among others. These exclusives are available only on Amazon Music, forming a key part of its content differentiation strategy. <b>Comment</b>: This campaign is a typical annual marketing and content operation by Amazon Music. By combining “exclusive original content” with “top-tier playlist promotion,” it aims to strengthen the platform's brand influence in music discovery and build a content moat. For observers focusing on streaming platform competition strategies, this model highlights that deep platform involvement in upstream content creation has become an industry norm.

DXC Technology has completed a full-scale, enterprise-wide deployment of Amazon Quick, supporting 115,000 employees across 70 countries, marking one of the largest deployments of the agentic AI-powered digital workspace to date. This internal implementation validates DXC's "Customer Zero" approach, where new technologies are first proven at true enterprise scale under real-world security and governance requirements, thereby creating a faster, more confident deployment path for clients. Building on this internal experience, DXC has launched the new "DXC Amazon Quick Practice" business unit. This practice is designed to help enterprise customers move AI from pilot programs to full-scale production. Its core strength lies in combining proven deployment methodologies, Amazon-native frameworks, and governance models validated within DXC's own operations, backed by over 1,000 professionals certified in Amazon AI specializations. The practice offers pre-built AI capabilities spanning AI-powered research, advanced business intelligence, and agent-ready automation, and supports co-investment with Amazon in targeted industry solutions such as financial services, insurance, and manufacturing to accelerate time-to-value. **Comment**: By productizing its own successful large-scale AI deployment experience, DXC provides a "turnkey" path for enterprise AI scaling. The "Customer Zero" model significantly enhances the credibility of the solution, offering substantial reference value for large enterprises navigating complex, multivendor environments and seeking secure, controlled AI adoption at scale.

Amazon's One Medical has launched a new beta feature called "Health Insights" to help members gain a deeper understanding of routine blood test results. Developed in partnership with the longevity medicine platform Lifeforce, the feature analyzes over 50 biomarkers and translates them into personalized, actionable insights categorized by health domains such as cardiovascular, metabolic, and immune function. It provides a personalized wellness score, detailed biomarker analysis, and evidence-based lifestyle recommendations. The feature integrates seamlessly with One Medical's conversational AI health assistant, "Health AI." While "Health Insights" offers structured report analysis, "Health AI" enables real-time dialogue for follow-up questions, clarification of medical terminology, and exploration of long-term trends, preparing users for more informed discussions with their care team. The tool is designed to complement, not replace, clinical care, with all lab results still reviewed by One Medical clinicians. This initiative reflects One Medical's commitment to using technology to enhance the provider-patient relationship and support proactive, personalized care. It is currently available at no additional cost to eligible adult members, with success to be measured by engagement, satisfaction, and health outcome improvements. **Comment**: This solution exemplifies a digital health practice that combines AI-driven data interpretation with human clinical guidance to enhance patient engagement and health literacy. Its core value lies in "translating" complex biomarker data into understandable, actionable insights and funneling users toward professional medical consultation, creating a closed loop from data to decision-making. For companies focused on personalized health management and AI healthcare applications, this "technology empowerment + clinical oversight" model is noteworthy.

Amazon's low Earth orbit (LEO) satellite internet service, Amazon Leo, has announced its first maritime authorized reseller agreements with ELCOME and MTN, targeting high-performance connectivity for vessels operating in major oceans and remote waters worldwide. The service is positioned as one of the most advanced satellite communication systems, leveraging a constellation of thousands of LEO satellites to deliver high-speed, low-latency, and high-throughput connectivity beyond the reach of traditional networks. A key technical feature is the optical inter-satellite links equipped on each satellite, forming a mesh network in space to ensure coverage even in areas without ground station visibility. Maritime customers can access the network via two compact, high-performance antenna designs: the Amazon Leo Pro (an 11-inch antenna delivering speeds up to 400 Mbps) and the more powerful Leo Ultra (capable of download speeds up to 1 Gbps and upload speeds up to 400 Mbps). Both models are engineered for demanding maritime environments. The partnerships leverage ELCOME's footprint (covering over 5,000 vessels globally) and MTN's expertise in converged satellite and terrestrial networks to serve commercial shipping, offshore energy, fishing, and yachting sectors, aiming to enhance network availability, operational efficiency, and crew communications at sea. **Comment**: This move marks Amazon Leo's official entry into the high-value maritime communications market, rapidly expanding its channel through an authorized reseller model. Its emphasized optical inter-satellite links and Gbps-class high-speed antennas are core differentiating technologies, directly competing with existing maritime satellite services. Companies monitoring satellite internet or maritime digitalization should pay attention to its real-world network performance data and its potential impact on traditional maritime communication providers.

AWS announced the general availability of the "AWS European Sovereign Cloud," an independent cloud entirely located within the EU and physically/logically separate from other AWS Regions. This solution is designed to meet the stringent sovereignty requirements of European governments and enterprises for sensitive data without compromising the full breadth of AWS services. Its core design includes: exclusive operation by EU residents ensuring "European operational autonomy"; retention of all metadata (including IAM, billing) within the EU for "complete data residency"; and leading technical controls like the AWS Nitro System for security. AWS plans to invest over €7.8 billion in the AWS European Sovereign Cloud in Germany and announced an expansion of its footprint with new "sovereign AWS Local Zones" in Belgium, the Netherlands, and Portugal to support stricter data isolation, in-country residency, and low-latency needs. The sovereign cloud will initially feature over 90 services across categories including AI, compute, database, and security. Customers from the public sector and regulated industries, such as EWE AG and Sanoma Learning, have already adopted the service. **Comment**: This move by AWS is a direct response to the EU's increasingly strict data sovereignty and compliance regulations. By offering a "sovereign-by-design" independent cloud region, it seeks to balance regulatory compliance with technological competitiveness. This provides a significant new option for regulated industry customers operating in Europe and may influence the competitive landscape of the European cloud services market.

London Stock Exchange Group (LSEG) has announced a deepened collaboration with Amazon Web Services (AWS) to transform its market-leading real-time data processing capabilities. LSEG will leverage AWS services for the collection, routing, and distribution of its real-time financial data within its private cloud environment. This collaboration aims to provide financial institutions with more flexible, faster, and resilient access to critical market data. LSEG's data universe covers over 100 million instruments, processes hundreds of billions of data updates daily, with its real-time network handling peak message rates of up to 20 million per second. By combining AWS's scale, resiliency, and flexibility with LSEG's position in real-time data distribution, the partnership will enable financial institutions to process billions of data points with the speed and intelligence demanded by modern financial markets. LSEG stated this move is part of its cloud transformation strategy to address the rapidly accelerating data demand driven by advances in AI and other technologies, delivering more resilient, intelligent, and accessible data solutions to support timely and informed investment decisions. AWS is the preferred cloud provider for LSEG's Markets, Risk Intelligence, and FTSE Russell divisions. **Comment**: This collaboration marks a significant step in the migration of financial data infrastructure to the cloud. By leveraging AWS's underlying capabilities, LSEG enhances the processing performance and resilience of its data services, solidifying its leadership in the real-time data market. For financial institution clients, this translates to more stable and efficient data feeds, crucial for supporting high-frequency trading, risk management, and AI-driven analytics.

Nokia has collaborated with Amazon Web Services (AWS) to demonstrate the industry's first agentic AI-powered 5G-Advanced network slicing solution in a live network. This intent-based solution integrates Nokia's advanced network slicing capabilities with AWS's AI platform, specifically Amazon Bedrock, to deliver autonomous and adaptive slicing services. The core innovation lies in the Agentic AI modules, which interact with Amazon Bedrock via APIs. These agents analyze real-world contextual data from the open internet—including traffic, events, locations, maps, and weather—to infer optimal slicing policies and automatically adjust Radio Access Network (RAN) parameters to meet SLAs. The technical architecture leverages Nokia's 5G AirScale base stations, MantaRay SMO (Service Management and Orchestration), and the Agentic AI modules. The solution targets diverse use cases: 1) **Intent-based enterprise and industrial slicing** autonomously ensures performance for critical applications in manufacturing, IoT, and smart cities by monitoring live KPIs like bitrate and latency. 2) **On-demand slicing** prioritizes service quality for first responders, gaming, and XR applications during emergencies or traffic surges. 3) **Mass event slicing** optimizes capacity for VIP spectators, payment apps, and broadcasting at concerts and sports events. Telecom operators du and Orange are the first to pilot this solution in their respective networks, aiming to deliver premium services that dynamically adapt to real-world conditions. **Comment**: This solution represents a significant evolution of network slicing from static configuration to AI-driven, autonomous orchestration, a key step towards "AI-native networks." By closing the loop between real-time external data and network policies, it transforms slicing from a technical capability into a true business enabler, opening new monetization avenues for operators' 5G investments.

Amazon Web Services (AWS) has announced the launch of its next-generation cloud AI inference chip, Amazon Inferentia2, designed to provide high-performance, cost-effective infrastructure for generative AI and large language model (LLM) applications. The chip is specifically engineered for large-scale Transformer model inference, delivering up to 4x higher performance and 3x more memory capacity than its predecessor. It supports models with up to 175 billion parameters. A key technological innovation is the adoption of a new variable-precision data type, which significantly increases throughput while maintaining model accuracy. Inferentia2 is integrated into the new Amazon EC2 Inf2 instances, which leverage the AWS UltraClusters high-scalability architecture to support clusters of tens of thousands of chips for handling the most complex AI inference workloads. AWS emphasizes that compared to comparable GPU instances, Inf2 instances can deliver up to 40% better price performance and reduce energy consumption by up to 50%. **Comment**: Amazon continues to deepen its moat in cloud AI infrastructure through custom silicon. Inferentia2 is specifically optimized for the current wave of generative AI, offering compelling cost and energy efficiency advantages for enterprises looking to deploy AI at scale. This move solidifies AWS's competitive position in the cloud AI compute market.

Telenor has launched its new Nordic TV platform, built through a strategic collaboration with Amazon Web Services (AWS) and Scalstrm AB, to deliver a modernized and efficient streaming service for customers across Norway, Sweden, and Finland. The solution centers on deploying a common, cloud-based origin platform for Telenor's TV services throughout the Nordics. It leverages AWS's advanced cloud computing, low-latency connectivity via AWS Direct Connect, and petabyte-scale storage. Scalstrm provides cloud-native origin technology based on Infrastructure as Code (IaaC) for consistent deployments. The platform supports next-generation streaming infrastructure for Live TV, Start-Over, Catch-Up, Video on Demand (VOD), and Network Personal Video Recorder (nPVR). This transformation has dramatically improved efficiency. The project moved from planning to production in less than a year, compared to an estimated over three years with traditional on-premises installation. The new platform already processes over 20% of Telenor's commercial channel portfolio in the three countries, delivering resilience, cost efficiency, and scalability. Telenor aims to reduce operational costs by up to 50% in some areas. Future innovations like Just-In-Time Transcoding are planned for further cost optimization. **Comment**: This is a successful case of a telecom operator modernizing its media business with cloud-native technology. The core value lies in the rapid construction of a unified, elastic, and cost-optimized streaming infrastructure through collaboration between a cloud provider and a specialized SaaS vendor, providing a feasible migration path from legacy architecture for the industry.

On February 19, 2026, Belgian operator Citymesh, in collaboration with Nokia and Amazon Web Services (AWS), launched the world's first commercial mobile service based on a 5G Core Software-as-a-Service (SaaS) model. This milestone marks a new era in how telecom operators build and scale their networks. The solution centers on Nokia's "Core SaaS for Business" product, running on AWS's global cloud infrastructure. The SaaS model transforms core networks and their operations into flexible, subscription-based services, significantly reducing the upfront capital investment and operational complexity of traditional deployments. It enables catalog-based service creation, on-demand network capabilities, rapid feature deployment, and predictable cost control through subscription and pay-as-you-grow pricing. Leveraging AWS's multi-region architecture, the platform ensures carrier-grade availability and meets stringent security requirements. Its service catalog includes 4G/5G Core, network slicing, IMS core, IoT services, automation, and security capabilities. Operators can expose network capabilities via APIs and scale capacity on demand without managing hardware. Citymesh will use this solution to deliver high-performance connectivity for diverse enterprise customers across venues, events, airports, hospitals, first responders, drone operations, and SMEs.

AWS India has partnered with Yotta Data Services to deploy the AWS Outposts hybrid cloud solution for the National Informatics Centre's (NIC) Meghraj 2.0 initiative. This solution is designed to meet the government's data residency and security requirements for sensitive workloads, enabling them to leverage AWS's advanced cloud services and generative AI capabilities within NIC data centers. The core of this solution is AWS Outposts. It allows government applications to run sensitive workloads on-premises while seamlessly accessing the full suite of AWS services in the AWS India Region, including managed services like Amazon EKS, Amazon RDS, and Amazon S3. A key feature of the technical architecture is its elastic scaling capability: during peak demand for citizen-facing services, applications can scale out to the AWS India Region for use cases such as data ingestion, with data synchronizing back to NIC data centers within hours, thereby overcoming on-premises capacity constraints. For security, NIC can enforce guardrails via AWS Control Tower to establish a security baseline for each new workload, mitigating risks from manual configuration errors and preventing security drift. **Comment**: This collaboration is a significant case of AWS deepening its presence in the government and sovereign cloud market. By utilizing the AWS Outposts hybrid cloud product, it combines the elasticity and AI capabilities of the public cloud with the control and compliance requirements of on-premises data centers, providing a replicable implementation model for other countries and regions with stringent data sovereignty regulations.