Global 5G Evolution

🇦🇺 Opportunities for AI in cyber defence More updates available in this month's Modern Telco AI Networks Conference. https://lnkd.in/gxj-SN58 ♻️ Repost to share with your network 👉Subscribe to #global5gevolution newsletter https://lnkd.in/ge9gsyjE 👉Subscribe to our YouTube https://lnkd.in/g8M7YvKq 👉Follow us on Kaneshwaran Govindasamy & Global 5G Evolution 👉Click comments #ai #cybersecurity

Tech Basics: Maschine Learning for Drone-enabled IoT networks Drone-enabled IoT networks combined with Machine Learning (ML) act as flying, autonomous data collection and processing systems Drones act as mobile edge nodes or gateways, gathering sensor data and using ML to instantly analyze information and make real-time decisions 🟡 Precision Agriculture: Drones carry multispectral cameras and IoT soil sensors to monitor crop health ML algorithms predict optimal watering schedules, identify pest infestations, and apply targeted treatments, increasing crop yields 🟡 Infrastructure & Pipeline Inspection: UAVs (Unmanned Aerial Vehicles) fly along oil/gas pipelines or power grids. Onboard ML models instantly detect structural anomalies, corrosion, or leaks, transmitting alerts via IoT networks before failures occur 🟡 Disaster Management & Search and Rescue: During wildfires or earthquakes, drones act as temporary, flying communication relays for trapped IoT devices ML analyzes aerial thermal imagery in real-time to locate survivors or predict fire paths 🟡 Smart Traffic & Crowd Management: Drones monitor traffic flow and feed video data to ML models that dynamically adjust smart traffic lights, reroute vehicles, or identify crowd density bottlenecks 🟡 Environmental Monitoring & Wildlife Protection: Drones track animal migration or illegal poaching using IoT collars. ML models process this data to detect unusual behavioral patterns or unauthorized human activites 🔎 These ML frameworks has been used so far in various Chase Studies: 📌 Deep Reinforcement Learning (DRL) & Q-learning: Utilized for autonomous navigation, trajectory planning, and energy optimization Algorithms like Deep Deterministic Policy Gradient (DDPG) are most common 📌 Convolutional Neural Networks (CNNs) & YOLO: Primarily used for computer vision, object detection, and disaster management 📌 Federated Learning (FL): Employed for privacy-preserving, collaborative learning across distributed drone swarms without centralizing raw IoT data 📌 Random Forest (RF) & Support Vector Machines (SVM): Utilized for lightweight cyber-security anomaly detection, predicting network attacks, and classifying sensor data More updates available in this month's Modern Telco AI Networks Conference. https://lnkd.in/gxj-SN58 ♻️ Repost to share with your network 👉Subscribe to #global5gevolution newsletter https://lnkd.in/ge9gsyjE 👉Subscribe to our YouTube https://lnkd.in/g8M7YvKq 👉Follow us on Kaneshwaran Govindasamy & Global 5G Evolution 👉Click comments

🪙𝗔𝗜 𝗶𝗻 𝗕𝗮𝗻𝗸𝗶𝗻𝗴: 𝗧𝗵𝗲 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗘𝗱𝗴𝗲 𝗶𝘀 𝗦𝗵𝗶𝗳𝘁𝗶𝗻𝗴 𝗙𝗮𝘀𝘁 𝘚𝘰𝘶𝘳𝘤𝘦: 2026 𝘈𝘐 𝘪𝘯 𝘉𝘢𝘯𝘬𝘪𝘯𝘨 𝘚𝘦𝘤𝘵𝘰𝘳 𝘙𝘦𝘱𝘰𝘳𝘵 KPMG #AI adoption in banking has clearly moved beyond the experimentation stage. Most banks are now actively exploring how AI can improve operations, customer engagement, fraud management, decisioning, and productivity across the enterprise. But what feels different now is the pace. The gap between institutions that are operationalizing AI well and those still stuck in fragmented pilots may widen very quickly over the next few years. A lot of banks are also realizing that AI transformation is not only about deploying models or copilots. It requires modern data foundations, governance, workflow redesign, and a much stronger alignment between business and technology teams. And in banking especially, trust becomes just as important as innovation. Because customers may adopt AI-driven experiences faster only when they feel transparency, security, and reliability are built into them. 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 ▪ AI is becoming central to operational efficiency and customer engagement ▪ Fraud, risk, and compliance remain major AI investment areas ▪ Legacy systems and fragmented data continue to slow large-scale adoption ▪ Governance and responsible AI frameworks are becoming strategic priorities ▪ The next phase of banking transformation may be defined by AI-native operating models 𝘐𝘴 𝘺𝘰𝘶𝘳 𝘣𝘢𝘯𝘬 𝘴𝘵𝘪𝘭𝘭 𝘳𝘶𝘯𝘯𝘪𝘯𝘨 𝘈𝘐 𝘪𝘯 𝘪𝘴𝘰𝘭𝘢𝘵𝘦𝘥 𝘶𝘴𝘦 𝘤𝘢𝘴𝘦𝘴… 𝘰𝘳 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘳𝘦𝘥𝘦𝘴𝘪𝘨𝘯𝘪𝘯𝘨 𝘵𝘩𝘦 𝘣𝘢𝘯𝘬 𝘢𝘳𝘰𝘶𝘯𝘥 𝘈𝘐-𝘭𝘦𝘥 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘯𝘨 𝘮𝘰𝘥𝘦𝘭𝘴? More updates available in this month's Modern Telco AI Networks Conference. https://lnkd.in/gxj-SN58 ♻️ Repost to share with your network 👉Subscribe to#global5gevolution newsletter https://lnkd.in/ge9gsyjE 👉Subscribe to our YouTube https://lnkd.in/g8M7YvKq 👉Follow us on Kaneshwaran Govindasamy & Global 5G Evolution 👉Click comments #AIinBanking #DigitalBanking #EnterpriseAI #BankingTransformation #FinancialServices

Zero Trust forAI Agents. A security framework for deploying autonomous AI agents in the enterprise. More updates available in Modern Telco AI Networks Conference. https://lnkd.in/gxj-SN58 ♻️ Repost NOW! 👉Subscribe to #global5gevolution newsletter https://lnkd.in/ge9gsyjE 👉Subscribe to our YouTube https://lnkd.in/g8M7YvKq 👉Follow us on Kaneshwaran Govindasamy & Global 5G Evolution 👉Click comments

🔐 𝗔𝗜 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗻𝗲𝗲𝗱𝘀 𝘁𝗵𝗿𝗲𝗮𝘁 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗻𝗼𝘁 𝘀𝗹𝗼𝗴𝗮𝗻𝘀. As organizations race to deploy AI, many security conversations remain surprisingly superficial. "Use AI responsibly." "Implement governance." "Secure your models." Useful principles—but principles alone don't stop attacks. What security teams need is a practical understanding of how AI systems actually fail. 📘 That's why Snowflake's AI Security Framework is worth examining. Rather than treating AI security as a compliance exercise, it approaches it as an operational risk management problem. The framework maps a wide range of AI-specific threats, including: ⚠️ Training data leakage ⚠️ Privacy violations ⚠️ Bias and explainability risks ⚠️ Prompt injection and indirect prompt injection ⚠️ Adversarial and sponge attacks ⚠️ Model theft and model inversion ⚠️ Model poisoning and backdoored models ⚠️ DDoS attacks against AI services ⚠️ Multi-tenant infrastructure risks ⚠️ AI supply chain vulnerabilities ⚠️ Self-hosted open-source LLM security challenges What makes this framework particularly valuable is its structure. For each threat, it connects: 🎯 The asset at risk 🎯 The attack trigger 🎯 Potential business impact 🎯 Example attack scenarios 🎯 Recommended mitigations That may sound simple, but it solves one of the biggest challenges in enterprise AI adoption: Different stakeholders often speak different languages. Security teams focus on threats. GRC teams focus on controls. Legal teams focus on compliance. AI teams focus on model performance. A shared threat model creates a common framework for decision-making. 💡 The most overlooked AI risks are rarely model accuracy issues. They emerge from: • shared infrastructure • third-party models • data exposure • prompt injection • weak governance boundaries • software and model supply chains As AI becomes embedded in core business processes, security can no longer be treated as a layer added after deployment. It must be designed into the architecture from the beginning. Because AI security is not fundamentally a model problem. It is a systems problem. More updates available in Modern Telco AI Networks Conference. https://lnkd.in/gxj-SN58 ♻️ Repost NOW! 👉Subscribe to #global5gevolution newsletter https://lnkd.in/ge9gsyjE 👉Subscribe to our YouTube https://lnkd.in/g8M7YvKq 👉Follow us on Kaneshwaran Govindasamy & Global 5G Evolution 👉Click comments #AI #ArtificialIntelligence #AISecurity #CyberSecurity #AIGovernance #RiskManagement #LLM #GenAI #EnterpriseAI #AITrust #ResponsibleAI #SecurityArchitecture #DataSecurity #DigitalTransformation

GenAI success is not about building models—it is about applying repeatable design patterns that transform LLMs into reliable, scalable, and governed enterprise intelligence systems. More updates available in Modern Telco AI Networks Conference. https://lnkd.in/gxj-SN58 ♻️ Repost NOW! 👉Subscribe to #global5gevolution newsletter https://lnkd.in/ge9gsyjE 👉Subscribe to our YouTube https://lnkd.in/g8M7YvKq 👉Follow us on Kaneshwaran Govindasamy & Global 5G Evolution 👉Click comments #GenerativeAI #LLMOps #AIAgents #RAG #SystemDesign #PromptEngineering #EnterpriseAI #AIEngineering #DigitalTransformation #MachineLearning

Swapratim Roy highlights the "Agentic Gap," noting that while many telcos use Generative AI for basic tasks like chatbots, few have embraced autonomous systems that act on network insights. He advocates for predictive operations that can identify failures up to 48 hours in advance and the use of intent-based networking via the RAN Intelligent Controller (RIC) to manage complex 5G slices dynamically. He warns that the primary threat comes from hyperscalers who treat the network as a data platform, urging telcos to adopt closed-loop AI to improve recovery times and maintain their competitive edge. We are building a great community focused #global5Gevolution—you can subscribe to the channel (link in comments!). For full video presentation👇 https://lnkd.in/gnP__FMq

🚨𝐓𝐡𝐞 𝟔𝐆 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧: 𝐖𝐢𝐥𝐥 𝐨𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐭𝐡𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦, 𝐨𝐫 𝐦𝐞𝐫𝐞𝐥𝐲 𝐜𝐨𝐧𝐬𝐮𝐦𝐞 𝐢𝐭? For five generations, a familiar pattern has played out in telecommunications: operators invest billions in spectrum & infrastructure, while ceding architectural control to a small handful of equipment vendors. We became experts at procuring & operating networks we don't own, on platforms we cannot modify, with AI layers we cannot audit. The result? The "Connectivity Trap"—stagnant ARPUs despite exponential data growth. A groundbreaking new paper by Dr. David Soldani at Rakuten Mobile, Inc. outlines a radical, necessary architectural reset for 6G. The core thesis is simple yet disruptive: We must completely flip the traditional deployment hierarchy on its head. We need to move Technology Last & put Control, Customers, Business & Operations First. 💡 The 2 Architectural Breakthroughs We Must Watch The 6G Control Compact: A strict ownership taxonomy (Own, Federate, Consume). Operators must own the control plane, the data layer & the AI substrate. If your AI inference layer is an un-auditable vendor black box, you’ve lost network sovereignty. The Guarantee Economy: Moving away from charging per megabyte. Instead, operators offer contractually enforceable Service Level Objectives (SLOs). Think guaranteed sub-10ms edge AI inference, deterministic 1ms industrial robotics links, or automated Sensing-as-a-Service (ISAC). 📉 This Isn't Academic Aspiration—It's Operationally Proven The industry has been burned by over-hyped 5G enterprise use cases that failed to scale due to manual operational bottlenecks. 6G changes the game by treating the network as software. Powered by an open, eBPF-instrumented kernel layer, Kubernetes orchestration & Agentic AI operating in closed-loop control loops (Intent ➔ Observe ➔ Decide ➔ Act), true zero-touch automation becomes viable. Rakuten Mobile's production data proves the economic validity of this model. As the world’s first national-scale, fully cloud-native Open RAN deployment, they achieved full-year EBITDA profitability. 📅 The 2026–2028 Window is Critical The architectural decisions made over the next 24 months will determine whether 6G defaults to an operator-controlled service platform or an expensive vendor-dependent pipe. Brownfield incumbents must start demanding open data access, CNCF-conformant MLOps, & API capability exposure today. Are we ready to reclaim the software layer and turn the cell site into an edge-compute profit center? More updates available at Modern Telco AI Networks Conference. https://lnkd.in/gxj-SN58 ♻️ Repost to help your network get started 👉Subscribe to #global5gevolution newsletter https://lnkd.in/ge9gsyjE 👉Subscribe to our YouTube https://lnkd.in/g8M7YvKq 👉Follow us on Kaneshwaran Govindasamy & Global 5G Evolution 👉Click comments #Telecom #6G #OpenRAN #AgenticAI #CloudNative #NetworkSovereignty #AIRAN

2026 MAY Edition - 𝗡𝗘𝗪𝗦𝗟𝗘𝗧𝗧𝗘𝗥 To the Experts, We support your #growth in the #community Kindly #subscribe for Free! Kaneshwaran Govindasamy, Kuala Lumpur, Malaysia – Telcos New Paths to Value in The AI Era Allen Abishek, Barcelona, Spain - Better User Experience due to Telco Cloud Edge Architecture Ashish Saxena, Mumbai, India – AI Data Centre Infrastructure and 5G Evolution. Cemal Duman, Bern, Switzerland- Hype Curve Train and Post-Mortem Analysis for Telecom Industry Andrew Alimpiev, Cairo, Egypt - Securing the messaging ecosystem: AI-Driven defenses against evolving SMS threats Juan C. García Peláez, Barcelona, Spain - The Agentic AI platforms using opensource Timo Jokiaho, Helsinki, Finland -SUSE Telco Cloud with AI, aligned with Industry Standards poohmipat sripukdee, Auckland, New Zealand - Evolving 5G : From Connectivity to Cognitive Networks Álvaro Saavedra, Hamburg, Germany - Open RAN, Open Question: Who Owns the IP When the Network Is the Cloud? Swapratim Roy, Copenhagen, Denmark – AI & Automation Q&A Session: 𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐭𝐨𝐩 𝐭𝐡𝐫𝐞𝐞 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐁2𝐁 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 𝐭𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐭𝐡𝐞 𝐡𝐢𝐠𝐡𝐞𝐬𝐭 𝐝𝐢𝐫𝐞𝐜𝐭 𝐫𝐞𝐯𝐞𝐧𝐮𝐞 𝐟𝐨𝐫 𝐭𝐞𝐥𝐜𝐨𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 18 𝐦𝐨𝐧𝐭𝐡𝐬? 🚨A MUST WATCH🚨 Click #comment Box for the #video #presentation click #subscribe and #LIKE on our video!!! ✅ Subscribe to #global5gevolution newsletter https://lnkd.in/ge9gsyjE ✅ Or subscribe #global5gevolution YouTube https://lnkd.in/g8M7YvKq ✅ Follow us on Kaneshwaran Govindasamy & Global 5G Evolution ---- 🚨𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐰𝐢𝐭𝐡 𝐆𝐥𝐨𝐛𝐚𝐥 5𝐆 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 At Global 5G Evolution, our mission is clear: distilling the complexity of the world’s mobile networks into actionable intelligence. In 2026, the industry has moved beyond the hype. 5G-Advanced, AI-native infrastructure, NoN-Terrestrial Networks and autonomous network operations are the live priorities defining the "IQ Era." Global 5G Evolution positions your brand at the center of this transformation—ensuring your story resonates before, during, and after MWC Barcelona. Through authoritative editorial, high-impact design, and precision-targeted content, we help you on digital spot limelight! 🚨𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗲𝗹𝗲𝘃𝗮𝘁𝗲 𝘆𝗼𝘂𝗿 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆? Drop a message in our LinkedIn messenger to discuss how we can amplify your presence. or... Book a Meeting to discuss how we can amplify your presence! https://lnkd.in/gvJvkfNR https://lnkd.in/gCQZR5CR