{"id":31824,"date":"2025-11-17T18:53:58","date_gmt":"2025-11-17T18:53:58","guid":{"rendered":"https:\/\/blog.lacnic.net\/?p=31824"},"modified":"2025-11-17T18:57:42","modified_gmt":"2025-11-17T18:57:42","slug":"artificial-intelligence-isps","status":"publish","type":"post","link":"https:\/\/blog.lacnic.net\/en\/artificial-intelligence-isps\/","title":{"rendered":"Artificial Intelligence Reaches the Core of ISPs"},"content":{"rendered":"\n<p><em>Internet service providers across the region are beginning to integrate AI into the management and monitoring of their networks. The expectation is clear: detecting failures before they impact users, and real-time automation of responses. But success depends on one critical factor\u2014<\/em> <em>how reliable and well-structured their internal data is.<\/em><\/p>\n\n\n\n<p>Artificial intelligence is no longer an abstract concept for Internet Service Providers (ISPs). As networks grow more complex, traffic volumes continue to rise, and customer-experience pressure increases, companies are turning to tools that can analyze events, predict outages, and trigger automated actions. Yet that excitement comes with a structural challenge: data quality.<\/p>\n\n\n\n<p>\u201cMore than 80% of AI initiatives fail today\u2014 and it\u2019s not due to a lack of technology, but because of poor-quality information,\u201d said Epafras Schaden, Chief Technology Officer at EdgeUno, a network services company rapidly expanding in Latin America.<\/p>\n\n\n\n<p><em>\u201cIf we don\u2019t know for sure which customer is connected to which interface, or how a circuit is configured, no AI model can operate effectively.\u201d<\/em><\/p>\n\n\n\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=8npLmfo20oU\">At LACNIC 44,<\/a> EdgeUno\u2019s CTO highlighted the potential of using AI for intelligent anomaly detection, predictive analytics, and the automation of repetitive tasks. \u201cAI allows us to move from reactive operations to truly proactive ones. We can anticipate potential issues and address them before they affect customer experience,\u201d he explained.<\/p>\n\n\n\n<p>This has a direct effect on end-user experience: fewer incidents and shorter response times allow support centers and NOCs to focus on complex troubleshooting instead of dealing with repetitive, low-value tasks.<\/p>\n\n\n\n<p>But getting there requires putting internal systems in order first. Integrating data from CRM, BSS platforms, monitoring tools, network inventory systems, and operational logs is essential. \u201cThere\u2019s no point in collecting every router log if I can\u2019t link that information to the customer database. Isolated data doesn\u2019t create context\u2014and without context, AI cannot understand the network,\u201d he noted.<\/p>\n\n\n\n<p><strong>A LONG ROAD AHEAD. <\/strong>One of the tools highlighted was the use of large language models (LLMs)\u2014both commercial and locally hosted\u2014integrated through protocols that allow AI to query real-time network data and suggest automated actions. \u201cOur goal is to move from a manually operated network to an autonomous one, capable of self-correcting and optimizing without direct human intervention,\u201d the CTO said.<\/p>\n\n\n\n<p>The transition is not immediate. It calls for investment, time, and technical teams willing to develop entirely new skills. \u201cNetwork engineers now have to adopt a software-architect mindset. This is a substantial cultural change,\u201d Schaden emphasized. The lack of talent with this hybrid expertise is becoming a major obstacle for operators.<\/p>\n\n\n\n<p><strong>SOVEREIGNTY AND PRIVACY.<\/strong> Data sovereignty and privacy concerns are pushing many companies toward fully local AI deployments. \u201cSecurity and cost are critical. Running models locally lets us control both,\u201d he emphasized.<\/p>\n\n\n\n<p>The upcoming challenge lies in integrating real user experience into the loop. \u201cIf network metrics say everything is fine but customers report the opposite, that\u2019s a signal we must incorporate. User feedback needs to become another system input,\u201d said EdgeUno\u2019s technical manager.<\/p>\n\n\n\n<p>AI offers ISPs a powerful vision: networks that learn, self-adjust, and improve. But that future still depends on one foundational requirement\u2014clean, coherent data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Internet service providers across the region are beginning to integrate AI into the management and monitoring of their networks. The expectation is clear: detecting failures before they impact users, and real-time automation of responses. But success depends on one critical factor\u2014 how reliable and well-structured their internal data is. Artificial intelligence is no longer an [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":31821,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1554],"tags":[1557,1283],"archivo":[1345,1451],"taxonomy-authors":[],"tipo_autor":[],"class_list":["post-31824","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-ai","tag-events","archivo-editions","archivo-highlights-2023"],"acf":{"author":"","related_notes":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>LACNIC Blog | Artificial Intelligence Reaches the Core of ISPs<\/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:\/\/blog.lacnic.net\/en\/artificial-intelligence-isps\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LACNIC Blog | Artificial Intelligence Reaches the Core of ISPs\" \/>\n<meta property=\"og:description\" content=\"Internet service providers across the region are beginning to integrate AI into the management and monitoring of their networks. The expectation is clear: detecting failures before they impact users, and real-time automation of responses. But success depends on one critical factor\u2014 how reliable and well-structured their internal data is. 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