Prysmian’s Post

Truck rolls can cost #telecom CSPs hundreds of millions annually to fix service disruptions. But what if service outages could be predicted ahead of time, down to the exact node in the network, and mitigated proactively? This is the future of telecom. This is #IndustrialGenerativeAI. See more ways Zapata AI is working to transform telecom, from forecasting demand to optimizing power consumption to predicting service disruptions: https://lnkd.in/eZbQVfbS #PredictiveMaintenance #CSP #Innovation

I've been fortunate enough to be involved in a number of advancements as it relates to Wireless Design, Collaboration and Delivery. In the early phase of 2G, we had more handsets on the network then radio resources. This led to a massive radio network expansion. 3G we embraced as the networks were growing and each customer was another packet on the back haul, so our bearer traffic expansion began. 4G brought us VoLTE or Voice over LTE to increase the subscriber audio sessions as we transformed the voice and data network. 5G brings us a whole new set of tools for 5G SA or Stand Alone 5G architecture that when meshed with AI will compliment the customer experience like never before. Good Read on how this can work for Wireless Companies. The AI-Powered Telco Ebook below:

Integrating AI and ML marks a significant advancement in how the data and system operations are being held. These technologies empower networks to learn autonomously from data, streamline processes, and automate numerous tasks. They notably improve FTTH troubleshooting and upkeep, offering capabilities like preempting system failures, pinpointing issues accurately, streamlining network pathways, suggesting solutions, and automating report generation. AI’s influence extends across various facets of consumers’ daily lives, and its impact on FTTH is a prime example of this trend. The emergence of AI-driven solutions has revamped network management and maintenance, opening the way to more innovative operations. The algorithms are now equipped to foresee and avert network disruptions, manage bandwidth distribution productively, and continuously surveil fibre optic networks. This not only improves the performance and reliability of FTTH but also sets new standards for future fibre networks. #telco #telecom #telecommunications #ftth #ai #ml #machinelearning #fibre #fiber

A White paper on AI opportunities in 6G Layer 2 This Nokia's whitepaper provides a comprehensive look into how AI technologies are integrated at layer 2 of 6G networks, where they enhance functionality, improve operational efficiency, and drive innovation. ◼ Resource Allocation and Scheduling: The paper discusses the deployment of machine learning models to dynamically manage resource allocation and scheduling, crucial for handling the increased density and heterogeneity of 6G networks. AI can optimize how resources are assigned and scheduled across vast arrays of devices and data types, adapting to fluctuating demands in real-time. ◼ Adaptive Modulation and Coding (AMC): ML-based AMC techniques are highlighted as critical for selecting the optimal modulation and coding schemes that adapt to varying channel conditions. This is particularly important for ultra-reliable low-latency communications (URLLC), where the balance between transmission speed and error rates is crucial. The application of reinforcement learning and other AI strategies helps in continuously adapting these parameters to maximize efficiency and minimize latency. ◼ Massive MIMO and Joint Communications and Sensing (JCAS): The integration of AI helps to manage the complexities introduced by technologies like massive MIMO, which involves large antenna arrays and spatial multiplexing of multiple signals. AI techniques optimize antenna patterns and power levels to maximize signal clarity and network capacity. JCAS, another innovative feature, integrates sensing with communication functions, allowing the network to understand and adapt to its environment better. ◼ Cost Reduction and Accessibility: Advanced AI algorithms streamline various network operations, reducing the need for extensive manual intervention and allowing operators to manage networks more efficiently with fewer resources. This cost efficiency makes advanced network technologies more accessible across different markets, potentially reducing the digital divide. Challenges and Future Directions ◼ Complexity in Integration: While AI offers numerous benefits, integrating these technologies into existing and future network infrastructures poses significant challenges. The white paper discusses the need for new architectural approaches and the development of AI-driven protocols that can manage the increased complexity without compromising performance. Training and Implementation: The effective deployment of AI solutions requires extensive training and validation to ensure they perform reliably under different conditions. This involves not only technical development but also regulatory considerations, particularly in terms of spectrum management and interference mitigation. This white paper articulates a future where 6G networks leverage AI not just to enhance existing functionalities but to enable new capabilities that integrate the digital with the physical world. #Nokia #AIforLayer2 #AINative #6G

How AI can be integrated in layer 2 of 6G networks!

AI is fundamentally changing the way wireless services are deployed across the telecom industry. - Improved customer service (virtual assistance, offering recommendations, and managing customer turnover), employee productivity, security, network predictive maintenance, network planning and operations, and transaction fraud detection are the areas where telecom companies are applying AI. -  Implementing AI can enhance mobile network efficiency, reduce power consumption, and retrofit existing infrastructure as 5G evolves into 6G. source: https://lnkd.in/gyeZkBqV

Great success stories keep on coming this week!! Read the article below to understand how Altice France has been leveraging First Time Right Automation 👇

Impressive insights, this whitepaper on AI opportunities in 6G Layer 2 is a game-changer. The comprehensive look into AI integration at layer 2 of 6G networks is truly visionary.

Exciting News! 🚀 This week, we delved into the transformative power of AI in FTTx planning, showcasing how it's set to redefine our industry. Imagine streamlined data analysis and optimized maintenance schedules at your fingertips, empowering us with sharper insights and enabling precision in network designs like never before. 🌐 But here's the burning question: Can AI truly step into the shoes of human expertise in FTTH planning? We're eager to hear your views! Dive into the conversation, share your insights, and let's explore the future of AI together. Your opinion matters. 💡 #fttx #fiberoptics #fibersplicing #artificialintelligence #TelecomInnovation #ftth #fibertothehome #ai #telecom #telecommunications #planners #planning #planningengineer #artificialintelligencefordesign https://lnkd.in/da75ZUJV