Underground Infrastructure Magazine’s Post

A global study commissioned by Ciena sheds light on communications service providers’ ( #CSPs ) growing optimism toward #ArtificialIntelligence ( #AI ). More than half of #telecom and IT engineers surveyed believe the use of AI will improve network operational efficiency by 40% or more. In addition, an overwhelming 85% of respondents express confidence in CSPs’ ability to monetize AI traffic across networks. https://bit.ly/3VxALbx

📣 📣Introducing AICHRONOLENS a groundbreaking tool that links legacy XAI explanations with the temporal properties of the input! AICHRONOLENS makes it possible to dive deep into the model behaviour and spot, among other aspects, the hidden cause of errors 💯 Extensive evaluations with real-world mobile traffic traces pinpoint model behaviours that would not be possible to spot otherwise and model performance can increase by 32 % 📈 🌟Awarded the "Best Paper Award" at IEEE INFOCOM 2024 🌟 “AICHRONOLENS: Advancing Explainability for Time Series AI Forecasting in Mobile Networks”, A paper by Claudio Fiandrino, Eloy Pérez Gómez, Pablo Fernández Pérez , Hossein Mohammadalizadeh, Marco Fiore and Joerg Widmer. Learn more here 🔗 https://lnkd.in/d6tnh7G9 👉Next-generation mobile networks will increasingly rely on the ability to forecast traffic patterns for resource management and while Long-Short Term Memory (LSTM) models have proven very successful for this task, their inherent complexity makes them hard to interpret, thus hampering their deployment in production networks 🤖Artificial Intelligence (XAI) techniques, which are primarily conceived for computer vision and natural language processing, fail to provide useful insights because they only work well with highly rich semantic data like images or text AICHRONOLENS makes possible to dive deep into the model behaviour and spot, among other aspects, the hidden cause of errors ✅ ✅ IMDEA Networks Institute NEC Laboratories Europe GmbH Telefónica Pi Lighting BluSpecs #xai #aichronolens #mobiletraffic

There are ongoing discussions about the integration of AI into the telecom industry as part of the 6G rollout. At this rate, Gen AI will be adopted and deployed to create network efficiencies well before we get to the projected 6G deployment date. If 48% of telcos are already investing in Gen AI to create network efficiencies, the law of diffusion of innovation will kick in well before 2030, driven by the highly competitive market. #GenAI #AI #6G

AI set to improve network operational efficiency by 40% or more. A study of telecom and IT engineers exploring artificial intelligence’s impact on the network sees almost universal belief in the need to upgrade fibre-optic networks to support more AI traffic

AI is driving efficiency across industries! Surveys indicate AI will improve operational efficiency by 40% in sectors like #telecom. Automation and predictive maintenance are setting the stage for innovation. #AI #Automation #DigitalTransformation https://lnkd.in/e2eythz9

Digital twins are integral in testing and optimising network planning without disrupting real-world systems. AI/ML, in particular, are powerful tools in navigating the growing complexity of 5G networks. Check it out: #5Gnetworks #digitaltwins #AI #ML

Capability vs. capacity: The duality of AI in telecom networks https://hubs.ly/Q02Rlkn30

Check out RCR Wireless News' recent article, "AI in Telecom Networks: Capacity and Capability," where I contributed some insights. 📶🤖 The piece explores how artificial intelligence is transforming the telecommunications industry by boosting network capacity and enhancing capabilities. With growing data demands and increasing network complexity, AI-driven solutions are essential for optimizing performance, predicting congestion, and automating operations. Key topics include: - Optimizing Network Performance: Leveraging AI for predictive analytics in traffic management to make efficient use of resources. - Enhancing Customer Experience: Utilizing AI to reduce latency and improve reliability, resulting in higher customer satisfaction. - Future Innovations: Exploring how AI can unlock new services and capabilities previously unattainable. Feel free to read the full article here: https://lnkd.in/dGMH-gEH #AI #Telecom #ArtificialIntelligence #NetworkOptimization #Innovation

Interesting reading about AI and its impact on networks

https://ow.ly/lC3050RTa5h A global study commissioned by Ciena sheds light on #communications service providers’ optimism toward Artificial Intelligence. More than half believe the use of #AI will improve #network operational efficiency by 40% or more.