{"id":10724,"date":"2025-03-20T15:57:38","date_gmt":"2025-03-20T15:57:38","guid":{"rendered":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/?p=10724"},"modified":"2025-12-12T15:47:47","modified_gmt":"2025-12-12T15:47:47","slug":"how-the-gsma-ai-use-case-library-is-helping-telecoms-deploy-ai-at-scale","status":"publish","type":"post","link":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/artificial-intelligence\/how-the-gsma-ai-use-case-library-is-helping-telecoms-deploy-ai-at-scale\/","title":{"rendered":"How the GSMA AI Use Case Library is helping telecoms deploy AI at scale"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\" id=\"h-the-ai-use-case-library-equips-telcos-and-the-wider-tech-sector-with-proven-ai-applications-that-solve-real-operational-challenges\"><a><\/a>The AI Use Case Library equips telcos and the wider tech sector with proven AI applications that solve real operational challenges<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">AI implementation has been something of a success in the telecoms industry compared to other sectors. As the UK-based <a href=\"https:\/\/www.sas.com\/en\/offers\/genai-research\/generative-ai-global-survey-results-reg.html\">survey<\/a> by SAS on AI adoption points out, telecoms ranked ahead of most industries in genAI adoption, with 70% of telcos having fully or partially implemented the technology. Telcos also plan to lead in investment too. According to the same survey, 89% of telecom operators expect to invest in genAI in the next financial year\u2014the joint highest alongside the insurance industry.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The findings align with the GSMA\u2019s recent <a href=\"https:\/\/data.gsmaintelligence.com\/research\/research\/research-2025\/telco-ai-state-of-the-market-q4-2024\"><em>Telco AI: State of the Market, Q4 2024<\/em><\/a> report. This research finds that 65% of operators have adopted an AI strategy, and 41% are in early-stage deployment, often running pilots or exploring where AI can provide tangible benefits. Yet many operators struggle with implementation, scalability, and crucially, understanding which use cases are best for them.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To help operators navigate these challenges, the <a href=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/ai-use-case-library\/\"><strong>GSMA AI Use Case Library<\/strong><\/a> provides a curated collection of industry AI applications. This resource <strong>compiles AI-driven solutions from operators, vendors, and technology providers across different markets<\/strong>, with concise case studies that help inform AI strategies.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-why-the-ai-use-case-library-matters\"><a><\/a>Why the AI use case library matters<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Unlike theoretical discussions on AI, the <strong>AI Use Case Library<\/strong> focuses on actual implementations, demonstrating where AI has delivered measurable impact. The use cases span network optimisation, customer experience, operations, sustainability, and security, reflecting AI\u2019s growing role in daily processes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By exploring these applications, organisations can identify scalable solutions, mitigate deployment risks, and accelerate AI adoption. The library contains contributions from a <strong>diverse range of organisations<\/strong>, providing a <strong>global perspective on AI deployment.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-key-use-cases-from-the-ai-use-case-library\"><a><\/a>Key use cases from the AI Use Case Library<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-network-operations-and-optimisation\"><a><\/a>Network operations and optimisation<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Huawei and Shandong Unicom<\/strong>: AI-powered wireless intelligent agents improve network performance for VIP customers. AI <strong>identifies high-value users<\/strong> and <strong>optimises network resource allocation<\/strong>, achieving a <strong>98% success rate<\/strong> in maintaining seamless service.<\/li>\n\n\n\n<li><strong>Qualcomm<\/strong>: AI-driven mobility management optimises <strong>cross-vendor network performance<\/strong> using a <strong>dynamic neural network (DNN)<\/strong>. This solution <strong>enhances mobility assurance across 124,000 5G cells<\/strong>, improving network efficiency without manual intervention.<\/li>\n\n\n\n<li><strong>Nokia: <\/strong>AI assistant helps engineers resolve technical issues faster. It has led to a 40% reduction in response times and a 31% drop in assisted support cases. It has solved 20% more tickets at Tier 1 level.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-ai-driven-sustainability\"><a><\/a>AI-driven sustainability<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>China Mobile<\/strong>: AI-driven <strong>energy-saving models<\/strong> reduce <strong>network power consumption by 24% per server<\/strong>, cutting <strong>annual electricity costs by RMB 202 million<\/strong>. The AI model <strong>predicts computing demand<\/strong> to optimise energy use without affecting service quality.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-enhancing-customer-experience\"><a><\/a>Enhancing customer experience<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Telkomsel and ZTE<\/strong>: AI network automation reduces latency for gaming by <strong>47%<\/strong>, <strong>boosts video streaming speeds<\/strong>, and dynamically manages power consumption. AI enables <strong>real-time service prioritisation<\/strong>, optimising network performance without additional capital expenditure.<\/li>\n\n\n\n<li><strong>Nokia<\/strong>: AI-driven customer-premises equipment (CPE) monitoring detects <strong>service issues in real time<\/strong>. This allows operators to <strong>proactively adjust configurations<\/strong>, reducing disruptions and improving <strong>customer satisfaction<\/strong>.<\/li>\n\n\n\n<li><strong>Ericsson<\/strong>: AI-assisted customer support accelerates <strong>resolution times<\/strong> by recommending relevant technical documents. This <strong>optimises engineer workloads<\/strong> and improves response efficiency for telecom service issues.<\/li>\n\n\n\n<li><strong>KDDI<\/strong>: Generative AI improves chatbot accuracy and intent recognition by summarising long customer inquiries and asking questions to clarify missing details. It also streamlines agent handovers by summarising chat history. Testing shows this can trim response times by 5 minutes, a 20% improvement. The technology also helps train chat advisors, improving customer satisfaction.<\/li>\n\n\n\n<li><strong>Ericsson<\/strong>: AI-assisted customer support reduces response times by matching inquiries with relevant technical documents from internal databases. This optimises engineer workloads, improving resolution efficiency and streamlining support operations.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-understanding-ai-use-cases-are-shaping-the-future-of-telecoms\"><a><\/a>Understanding AI use cases are shaping the future of telecoms<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The GSMA AI Use Case Library is an ideal resource for assisting organisations on their AI journey. By providing demonstrable deployment insights, it helps organisations understand AI\u2019s impact, mitigate risks, and identify scalable solutions. Whether organisations want to analyse market trends, assess competitors, or get started with AI, the library offers valuable guidance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As AI transforms telecom networks, customer interactions, and energy management, the need for proven, replicable use cases will only grow. For operators looking to adopt AI with confidence, the GSMA AI Use Case Library is an essential tool for making smarter investment decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/ai-use-case-library\/\"><strong>Explore the AI Use Case Library<\/strong><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The AI Use Case Library equips telcos and the wider tech sector with proven AI applications that solve real operational challenges AI implementation has been something of a success in the telecoms industry compared to other sectors. As the UK-based survey by SAS on AI adoption points out, telecoms ranked ahead of most industries in [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":7868,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"","footnotes":""},"categories":[125],"tags":[],"algolia_discover_type":[206],"class_list":["post-10724","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","algolia_discover_type-article"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.4 (Yoast SEO v27.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How the GSMA AI Use Case Library is helping telecoms deploy AI at scale - GSMA Foundry<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/artificial-intelligence\/how-the-gsma-ai-use-case-library-is-helping-telecoms-deploy-ai-at-scale\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How the GSMA AI Use Case Library is helping telecoms deploy AI at scale\" \/>\n<meta property=\"og:description\" content=\"The AI Use Case Library equips telcos and the wider tech sector with proven AI applications that solve real operational challenges AI implementation has been something of a success in the telecoms industry compared to other sectors. As the UK-based survey by SAS on AI adoption points out, telecoms ranked ahead of most industries in [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/artificial-intelligence\/how-the-gsma-ai-use-case-library-is-helping-telecoms-deploy-ai-at-scale\/\" \/>\n<meta property=\"og:site_name\" content=\"GSMA Foundry\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-20T15:57:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-12T15:47:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/wp-content\/uploads\/2024\/10\/AI-Leaders-Roundtable-@MWC-Las-Vegas-24-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1704\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"ehenderson@gsma.com\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@gsma\" \/>\n<meta name=\"twitter:site\" content=\"@gsma\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"ehenderson@gsma.com\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"How the GSMA AI Use Case Library is helping telecoms deploy AI at scale - GSMA Foundry","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/artificial-intelligence\/how-the-gsma-ai-use-case-library-is-helping-telecoms-deploy-ai-at-scale\/","og_locale":"en_US","og_type":"article","og_title":"How the GSMA AI Use Case Library is helping telecoms deploy AI at scale","og_description":"The AI Use Case Library equips telcos and the wider tech sector with proven AI applications that solve real operational challenges AI implementation has been something of a success in the telecoms industry compared to other sectors. 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