Generative AI's Impact on the Telecom Industry

A Primer on #Generative #AI for Telecom: From Theory to Practice - Link: https://lnkd.in/gQrY9Nh5 This new article explores how #GenAI, especially large language models (#LLMs), is becoming a game-changer for #telecom — driving innovation and enhancing efficiency. What’s inside: 1) A deep dive into GenAI #models and their practical #applications in telecom. 2) Insights into key technology #enablers and best practices for effectively integrating GenAI. 3) The critical role of Retrieval Augmented Generation (#RAG) in connecting LLMs with telecom-specific data sources to improve accuracy. 4) A real-world use case: A RAG-based chatbot for answering #ORAN questions. The article is co-authored by Xingqin Lin, Lopamudra Kundu, Chris Dick, Amparo Canaveras, Janaki Vamaraju, Swastika Dutta, Vinay Raman #GenerativeAI #Telecom #AI #LLM #ORAN #3GPP

𝗤𝘂𝗮𝗻𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗶𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝗚𝗲𝗻𝗔𝗜 𝗼𝗻 𝘁𝗲𝗹𝗰𝗼 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀: Proud to have contributed to our Ericsson Mobility Report that launched today! There is a lot of noise out there when it comes to AI and GenAI, with predictions varying wildly. We have thus gone back to the drawing board, evaluated factual market data, engaged with key Silicon Valley players ... and established a baseline methodology on how to estimate that traffic growth. Check out https://lnkd.in/g89u26HR for a complete overview; and specifically pages 17-19 on the quantification of GenAI traffic (also attached below). My personal key take-away is that traffic in absolute terms does not slow down at all, and GenAI is an accelerant! Important to understand is that we are designing networks not in % increase but in absolute terms: we are talking about absolute spectrum availability, actual number of base station locations, real features, etc. It is time for the industry to wake up and acknowledge that we are short on IMT mid-band spectrum to cater for the continued increase of (absolute) datarate; with massive uplink requirements coming. Let me know what you think, and what your main take-aways are. cc Erik Ekudden | Hans Vestberg | Tian Chong Ng | David Willis

NVIDIA and Infosys focus on telecom... The blog post discusses how Infosys leveraged NVIDIA's NeMo Retriever and NIM (Neural Inference Microservices) to enhance the efficiency and accuracy of telecom Network Operations Centers (NOCs) through generative AI. Infosys developed a smart NOC solution that uses AI-powered chatbots for network troubleshooting, reducing downtime, and improving customer service. The solution involved creating a vector database of network-specific documents, optimizing embeddings, and reranking for accurate and fast responses. The implementation of NVIDIA's technology significantly reduced latency by 61% and improved accuracy by 22%, enhancing the overall performance and reliability of the NOC systems. #nvidia #telecom #infosys https://lnkd.in/gp85zTUa