Telecoms Evolve to AI-Native Networks and Vertical AI

As telecom networks become #increasingly #intelligent, #OSS/BSS is evolving from a back-office function into a strategic driver of #growth. Here's how #AI, #cloud-native platforms, and open #APIs are helping African operators build the #networks of the future. https://lnkd.in/dZBNVGG9

🚨 Are digital twins in telecom already falling short of expectations? Not because of the technology itself — but because of what’s missing underneath. As Daria points out, without a unified network inventory, digital twins can’t deliver their full potential. A centralized inventory is what connects physical infrastructure, logical services, and operational processes into one usable view. And that matters even more as networks get more complex and automation and AI expectations keep rising. In telecom, fragmented data and scattered systems are still major blockers to real-time decision-making and reliable twin behavior. 👉 Dive into the full article: https://okt.to/zVZaxW #Telecom #DigitalTwin #AI #NetworkAutomation #Innovation #Transformation

Interesting numbers from Mordor Intelligence on agentic AI in telecom. Hitting a $4.63B market size this year with a 13.5% CAGR makes total sense. The piece that jumps out to me is the deployment data. Cloud still holds about 60% of the share, but edge infrastructure is growing at nearly 14%. It proves carriers can't just rely on central cloud pools anymore. When you're trying to block fraud or handle network orchestration in real time, routing tokens back and forth to a distant data center completely kills performance. Also, it's pretty telling that fraud and security management is the fastest-growing application area. Once you give the keys to autonomous agents that can alter configurations on the fly, traditional static security logs become useless. Telcos are realizing they need agents to hunt other rogue agents. The transition from basic copilots to true closed-loop network autonomy is happening way faster than people think. #Telecom #AgenticAI #NetworkManagement #EdgeComputing #AIOps #NetOps #TelcoSecurity https://lnkd.in/eRpNK29t

Elisa says #AI automation has cut network incidents by over 80%. https://lnkd.in/dJQnrWTQ #AI #ArtificialIntelligence #GenerativeAI #AgenticAI #NetworkAutomation #AutonomousNetworks #AIOps #Telecom #Telecommunications #Telco #5G #NetworkOperations #NetworkReliability #SelfHealingNetworks #OSS #BSS #DigitalTransformation #CloudComputing #MachineLearning #PredictiveAnalytics #OperationalExcellence #EnterpriseAI #Innovation #TechTrends #NetworkEngineering #TelecomInnovation #ServiceAssurance #Automation #IntelligentNetworks #FutureOfTelecom

Converting #telephone exchanges to #AI #edge nodes: how AI is challenging the #telecom services providers ☎️ 🌟 LightCounting releases June 2026 Telecom Network Transformation Report 🌟 LightCounting Market Research has been publishing the Telecom Network Transformation report for almost a decade — and while revenues of the top #telcos tracked have remained stubbornly flat during this period, they have made real progress in the #disaggregation and #automation of their networks — developments that position them well in the era of #AI. 🤖 Yet, #AI is a technology that makes telcos uncomfortable. Is there a unique #AI-enabled opportunity for #telcos? They are experts at managing massive #networks and have valuable network assets — is there anything else? Look no further for answers to these questions and read more from LightCounting's Telecom Network Transformation report: https://lnkd.in/gRM5nDtC 📈 Also included is LightCounting’s forecast of #AI’s effect on #DWDM #bandwidth. ➡️ Check out the new report: https://lnkd.in/gwD2Ryss #optics #opticalnetworks #telecom #datacenter #technews Roy Rubenstein daryl inniss Stelyana Baleva Vladimir Kozlov https://lnkd.in/gRM5nDtC

Tech Mahindra has announced a collaboration with Microsoft to showcase an advanced network digital twin solution. The solution is designed to help communications service providers modernise their network operations, improve service performance, and accelerate monetisation of next generation 5G capabilities. Read more: https://lnkd.in/gnp6v5Tv #TechMahindra #Microsoft #Telecom #TelecomNetworks #NetworkDigitalTwin #DigitalTwin #AI #ArtificialIntelligence #AgenticAI #GenerativeAI #5G #5GNetworks #Azure #MicrosoftAzure #CloudComputing #NetworkAutomation #AutonomousNetworks #NetworkOperations #TelecomInnovation #DigitalTransformation #EdgeComputing #NetworkSlicing #ServiceAssurance #PredictiveAnalytics #CloudNative #TelecomTechnology #FutureNetworks #EnterpriseConnectivity #TelecomModernization #AIInnovation

𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗲𝗻𝗼𝘂𝗴𝗵. Today's telecom operators need real-time visibility, predictive intelligence, and autonomous decision-making across the entire network, not isolated dashboards for Core, Packet Core, or RAN. At 𝗧𝗲𝗹𝗰𝗼𝘃𝗮𝘀, we are building an 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (𝗖𝗘𝗠) Platform that delivers an end-to-end, service-centric view of the mobile network, enabling operators to monitor, analyze, predict, and optimize customer experience from a single intelligent platform. Our AI-native CEM platform correlates data across the entire telecom ecosystem, including: 𝗥𝗮𝗱𝗶𝗼 𝗔𝗰𝗰𝗲𝘀𝘀 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 (𝗥𝗔𝗡) – 2G/3G/4G/5G, gNodeB/eNodeB performance, coverage, interference, mobility, VoLTE/VoNR quality, handover success, throughput, latency, and QoE. 𝗣𝗮𝗰𝗸𝗲𝘁 𝗖𝗼𝗿𝗲 (𝗣𝗦) – AMF, SMF, UPF, SGW, PGW, GGSN, EPC/5GC performance, session success rates, signaling efficiency, congestion, user-plane analytics, and traffic behavior. 𝗖𝗶𝗿𝗰𝘂𝗶𝘁-𝗦𝘄𝗶𝘁𝗰𝗵𝗲𝗱 & 𝗩𝗼𝗶𝗰𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 (𝗖𝗦) – MSC, IMS, VoLTE, VoWiFi, SIP signaling, call setup success rate (CSSR), call drop rate (CDR), SRVCC, voice quality, and end-to-end service assurance. 𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗔𝗜 𝗮𝗻𝗱 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝘁𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀: ◆ Real-time KPI, KQI, and QoE visibility ◆ Cross-domain event correlation and root cause analysis (RCA) ◆ Predictive analytics and anomaly detection ◆ AI-driven customer experience scoring and service health indices ◆ Intelligent alarm prioritization with noise reduction ◆ Subscriber, device, location, and service-level analytics ◆ Automated remediation recommendations and closed-loop assurance ◆ Executive, engineering, and operations dashboards with drill-down analytics Rather than simply reporting alarms, the platform understands the relationships between network performance, service quality, customer behavior, and business impact, enabling operations teams to move from reactive troubleshooting to predictive and autonomous network operations. As networks evolve toward 5G Standalone, Open RAN, network slicing, MEC, and AI-native operations, Customer Experience Management must evolve as well. The future of telecom is not just about monitoring network elements; it's about continuously understanding, predicting, and optimizing every subscriber's digital experience. AI is transforming CEM from a reporting tool into the intelligence layer of the modern telecom network. #Telcovas #AI #AgenticAI #Telecom #CustomerExperience #CEM #NetworkAnalytics #ServiceAssurance #AIOps #AutonomousNetworks #5G #5GSA #OpenRAN #RAN #PacketCore #CoreNetwork #IMS #VoLTE #VoNR #NetworkSlicing #MEC #QoE #QoS #KPI #KQI #RCA #PredictiveAnalytics #MachineLearning #Telecommunications #DigitalTransformation

The telecom industry is entering a new era where AI is no longer an enhancement—it is the operating model. At Telcovas, we’re building AI-driven platforms that help communication service providers transform network intelligence into better customer experiences, operational efficiency, and new revenue opportunities. Excited to see our team continue pushing the boundaries of innovation in Agentic AI and intelligent telecom transformation. The journey has just begun. #Telcovas #AI #AgenticAI #Telecom #Telecommunications #AIOps #DigitalTransformation #CustomerExperience #NetworkIntelligence #Innovation #5G #OSS #BSS #Automation #CSP #ArtificialIntelligence #FutureOfTelecom #Leadership #Technology #DigitalInnovation

#AI investment across the broader economy is forecast to grow from $174 billion in 2025 to $467 billion by 2030. The question for #telecom operators is whether their networks will evolve alongside it. In his latest RCR Wireless News article, ABI Research VP Jake Saunders explains why AI-native core architectures, network AI agents, and intent-based interfaces are becoming essential building blocks for future #6G networks. The article also explores why operators that delay architectural change risk missing the next wave of AI-driven services. Read more: https://lnkd.in/dEvpFyAJ #Telecommunications #NetworkAutomation #Telco

The Silent Engine: Why the Real Battle for 5G ROI is Happening in BSS/OSS ⚡️ For years, the headline story in US telecom was all about infrastructure, the massive, multi-billion-dollar race to build cell towers, deploy fiber, and secure 5G mid-band spectrum. But as the initial coverage wars settle, the battleground has completely shifted. US operators are sitting on powerful networks, facing a critical question: How do we actually monetize this at scale? The answer isn't in the radios or the fiber cables. It’s sitting in the back-office software—the BSS (Business Support Systems) and OSS (Operations Support Systems) stacks. 💡 The US Market Shift in 3 Big Trends: 1. The End of Monolithic "Franken-Stacks" For decades, Tier 1 carriers relied on legacy, hard-coded software stacks that took 18 months just to launch a simple new data tariff. Today, US telcos are rapidly tearing down monolithic code and migrating toward cloud-native, microservices-based architectures aligned with TM Forum’s Open Digital Architecture (ODA). If your software can’t spin up a custom dynamic service in minutes rather than months, it’s a liability. 2. 5G Network Slicing & Real-Time Monetization We’ve officially moved beyond flat-rate consumer data plans. BSS engines are now tasked with real-time, low-latency charging for complex enterprise use cases - think automated factory floors, connected fleet logistics, or guaranteed low-latency slices for healthcare systems. Building a BSS platform that can handle real-time micro-transactions and strict SLA tracking simultaneously is the holy grail for modern monetization. 3. Autonomous Networks (Level 4 AI in OSS) With millions of IoT end-points hitting the network, human engineers can no longer manually monitor fault alarms. The US OSS market is undergoing a massive shift toward intent-based, self-healing networks. We are seeing AI models directly integrated into OSS layers to detect outages, optimize traffic routing, and automatically resolve network anomalies before a customer even notices a drop in service. 📌 The Bottom Line The US OSS/BSS ecosystem is transitioning from a defensive, back-office utility into the primary growth driver for telecom innovation. The companies winning in this space right now aren't just selling software-they're providing the agility that allows carriers to behave like high-speed SaaS platforms. Whether it's migrating legacy stacks to public cloud environments, orchestrating automated TR-protocol device management, or unlocking GenAI for customer workflows - the real software revolution in telco is happening behind the curtain. Oliver