The growing complexity of the IoT edge—facing thousands of distributed devices, continuous updates, and security demands—requires a unified management approach. The traditional way is no longer efficient, CTHINGS.CO explains. #EdgeAI #IoTManagement https://lnkd.in/eq_xvYq2 The economic case for AI at the edge: - Scalability: Seamlessly manage growing fleets of devices across diverse environments. - Autonomy: Enable local intelligence for faster decisions, critical for time-sensitive use cases. - Efficiency: Spot anomalies and predict failures instantly, reducing downtime and maintenance costs. With the edge computing market projected to grow rapidly, AI is emerging as the necessary game-changer to move from insight to coordinated action.
How AI at the edge can manage IoT complexity
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What do IoT MVNOs need to do in a rapidly evolving market? In Transforma Insights' recent report with floLIVE, 'Beyond Coverage: Building Smarter, Compliant, AI-Ready IoT Networks' we explored some of the key changing dynamics in IoT connectivity and the implications for connectivity providers. One section addressed what IoT MVNOs specifically need to do. What is increasingly clear is that IoT connectivity cannot simply be delivered with a sponsored roaming agreement and a can-do attitude. Recommendations include: 🛜 Prioritise control over core network functions, allowing MVNOs to deliver higher quality of service (QoS) and manage connectivity at a more granular level. 🗺️ Support localisation through eSIM provisioning, allowing devices to connect to local MNO networks without reliance on extensive roaming arrangements. ☁️ Direct access to local cloud-based infrastructure is critical, as it allows MVNOs to optimise latency, bandwidth, and reliability for enterprise IoT deployments ⚖️ Localisation is also key for ensuring compliance with local and regional regulations such as data sovereignty requirements. 🤝 Renegotiate carrier agreements to expand beyond a handful of sponsored roaming deals. This ensures that they can support a wider range of technologies and network types in a fragmented global IoT ecosystem, from LTE-M and NB-IoT to emerging 5G networks. 🫂 Embrace the role of eSIM Orchestrator (eSO). . This role leverages the MVNO’s expertise in profile management, switching logic, and policy enforcement, while minimising investment in large-scale network infrastructure. 💲 Adjust approach to connectivity reselling. Resellers must maintain strong relationships with multiple carriers, implement robust traffic management, and ensure QoS across various networks. They need operational capabilities for provisioning, billing, and compliance. Ultimately, successful MVNOs in the IoT era will likely adopt a hybrid approach, selectively combining reselling and orchestration functions to maximise flexibility and revenue opportunities. Those that effectively integrate localisation, QoS management, and eSIM orchestration will be positioned to meet the growing demand for seamless, reliable, and cost-efficient IoT connectivity worldwide. In an upcoming webinar, I and Luigi Capobianco will explore many of the key themes of the report. More details and link to register here: https://lnkd.in/e58s-Sja Link to the report in the comments.
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10 Best Edge IoT Platforms in 2025 — What’s Changed and How to Choose As edge computing becomes the backbone of real-time IoT data processing, choosing the right Edge IoT platform has become critical for scalability, latency, and security. We’ve updated our 2025 comparison of the top 10 Edge IoT platforms — from open-source frameworks like EdgeX Foundry and KubeEdge, to enterprise-grade options like Azure IoT Edge. 🔍 In this guide, you’ll find: • Feature & hardware comparison table • Open-source vs. enterprise insights Read the full analysis: 👉 https://lnkd.in/d8rvN8Dm #EdgeComputing #IoT #IoTPlatform #OpenSource #AIoT #EdgeAI #ZedIoT
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Explore the evolution of Industrial IoT platforms, from fragmented systems to unified solutions, enhancing connectivity, efficiency, and productivity in industries. #IndustrialIoT #SmartManufacturing #EfficiencyBoost #ConnectedIndustry #IoTSolutions #ProductivityEnhancement
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The era of simple #IoT device management is over. Gartner predicts 50% of enterprises will be using #edgecomputing by 2029. Check out this guide on going beyond traditional remote device management for the edge computing and #edgeAI era
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The era of simple #IoT device management is over. Gartner predicts 50% of enterprises will be using #edgecomputing by 2029. Check out this guide on going beyond traditional remote device management for the edge computing and #edgeAI era
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The era of simple #IoT device management is over. Gartner predicts 50% of enterprises will be using #edgecomputing by 2029. Check out this guide on going beyond traditional remote device management for the edge computing and #edgeAI era
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Unlocking the power of real-time intelligence at the edge isn’t just a trend. it’s a strategic must for companies committed to innovation. In the blog (link below) we explore how edge computing is revolutionizing the IoT landscape: from slashing latency and optimizing bandwidth to empowering smart-factories, connected vehicles and remote healthcare environments. Whether you’re managing a global enterprise or leading a startup, leveraging the edge means faster decisions, lower risk and enhanced user experiences. Dive in to learn how your architecture can shift from a centralized cloud-first mindset to a hybrid, distributed model that delivers data where it matters most. Read the full article: https://lnkd.in/dskMb2VC #EdgeComputing #IoT #InternetOfThings #EdgeAI #SmartCities #IndustrialIoT #IIoT #RealTimeAnalytics #LatencyReduction #BandwidthOptimization #PredictiveMaintenance #SmartManufacturing #ConnectedVehicles #RemoteMonitoring #EdgeArchitecture #HybridCloud #DigitalTransformation #TechInnovation #DataProcessing #EdgeDevices #EdgeGateway #CloudEdgeContinuum #EdgeSecurity #IoTSecurity #DigitalInfrastructure #FutureOfIT
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Register now https://lnkd.in/eKRam5R3 to join Transforma Insights for a free webinar on 25 November when Matt Hatton will be discussing the key findings from our recently published Communications Service Provider IoT Peer Benchmarking report (https://lnkd.in/e_efh-nb). Topics for discussion include: ➡️ Perspectives on SGP.32. The arrival of the new remote SIM provisioning technology looms large of the IoT connectivity landscape and accounts for several of the key themes noted in the report. The webinar will examine the approach of different players and the impact the technology is expected to have. ➡️ Evolving middleware. From the arrival of the single-pane-of-glass (SPOG) to ongoing debates about the economics of running in-house vs third-party connectivity management platforms, as well as additional middleware layers. ➡️ Network technology fragmentation. The network landscape has never been more fragmented with 2G/3G switch-off, 4G switch-off looming, 5G (and particularly 5G SA) rollouts patchy, and new arrivals in the form of NTN and RedCap. We will consider what the prognosis is for these various technologies and the impact of the fragmentation. ➡️ Heading off price erosion through new services. Price erosion is a perennial issue for IoT connectivity and MNOs/MVNOs continue to pursue new opportunities for revenue growth, including channels, value-added services, professional services, full-stack solutions, video analytics, and diversifying out of IoT altogether. ➡️ The increasing use of AI. Whether it be for customer care and interaction, anomaly detection, or process automation, the use of artificial intelligence has come on notably in the last year. Is it a differentiator?
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Robustel integrates Kigen eSIM technology into industrial routers - IOT Insider: Robustel, a global supplier of industrial IoT and M2M connectivity solutions, has integrated Kigen's eSIM technology into its portfolio of 4G and ... #iot #data #internetofthings
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Aeris expands global partner ecosystem Aeris officially launched at this week’s Canalys Forum Americas in Chicago its expanded global partner ecosystem, empowering technology advisors, distributors, VARs, MSPs, OEMs and carriers to deliver secure, scalable IoT and fixed wireless access (FWA) worldwide. https://lnkd.in/ei9pmdFk
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1moIoT For All The challenges of managing IoT edge devices are indeed significant. A unified management approach is crucial for scalability and efficiency. AI at the edge can enhance decision-making and reduce downtime, making it a vital component in this evolving landscape.