{"id":3676,"date":"2026-04-13T20:10:45","date_gmt":"2026-04-13T20:10:45","guid":{"rendered":"https:\/\/www.europesays.com\/spain\/3676\/"},"modified":"2026-04-13T20:10:45","modified_gmt":"2026-04-13T20:10:45","slug":"how-artificial-intelligence-is-revolutionizing-network-fiber-planning","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/spain\/3676\/","title":{"rendered":"How Artificial Intelligence Is Revolutionizing Network Fiber Planning"},"content":{"rendered":"\n<p>One of Telef\u00f3nica Espa\u00f1a\u2019s most recent and promising technological advances has been the incorporation of artificial intelligence (AI) into network planning processes. A solution that has already demonstrated its impact by transforming processes, reducing human error and accelerating service availability for customers, as well as optimizing the allocation of resources in fiber deployments in rural areas.<\/p>\n<p>Artificial intelligence at the service of efficiency <\/p>\n<p>Traditionally, estimating the layout and costs of network deployment in rural areas was a complex process, with many variables that were difficult to predict. Conventional tools were not always able to identify physical obstacles such as rivers or hard-to-reach areas, which also increased execution costs.<\/p>\n<p>To overcome these challenges, Telef\u00f3nica Spain has developed an AI based on genetic algorithms, capable of designing optimal deployment routes from proportionate geographical coordinates. This AI not only calculates the most efficient path, but also estimates the associated cost, considering factors such as the reuse of existing infrastructure and the minimization of civil works.<\/p>\n<p>Intelligent estimation based on design and historical experience <\/p>\n<p>One of the key pillars of this artificial intelligence is its ability to make preliminary estimates of deployment resources and costs accurately and efficiently. This functionality is based on two essential elements: the technical criteria of network design and the analysis of the historical costs associated with previous deployments in areas with similar characteristics.<\/p>\n<p>Thanks to this combination, the algorithm projects new implementations with a solid and contextualized base. By considering previous deployment patterns, geographic obstacles, urban density, and other relevant factors, the tool can more accurately anticipate the resources needed as well as potential challenges.<\/p>\n<p>This approach allows planning teams to make more informed decisions from the earliest phases of the project, reducing the margin for error and better aligning initial estimates with the actual costs that will be faced in the execution phase. In short, it is a predictive and contextualized planning, which transforms the way in which Telef\u00f3nica approaches the expansion of its network infrastructure, making its process increasingly autonomous, while accelerating the availability of the service for the customer.<\/p>\n<p>\u201cWe have transformed the way we plan. Now, with the support of AI, we have better control over cost estimates. This allows us to make better decisions from the first phase of the project, reduce risks and align our planning with real costs much more efficiently.\u201d Elena Sumastre, Manager of Planning and Engineering Fixed Access of Telef\u00f3nica Spain.<\/p>\n<p>Scalability and Forward-Looking <\/p>\n<p>The algorithm, which is already being used by planning teams, offers potential for use in more areas within Telef\u00f3nica de Espa\u00f1a. Use cases include:<\/p>\n<p> Customer inquiries about deployment costs in specific locations.Evaluation of alternative routes and diversification.Replacement of radio access with fibre.Mobile network planning. <\/p>\n<p>The integration of this solution into other processes will allow you to respond immediately to customer requests, improving the experience and reducing response times.<\/p>\n<p>One more step towards digital transformation <\/p>\n<p>This development represents a significant evolution in the way Telefonica approaches network planning. It\u2019s not just about saving costs, it\u2019s about transforming processes, reducing human error, and accelerating service availability for customers.<\/p>\n<p>\u201cArtificial intelligence marks a paradigm shift in the way we plan our fiber deployments. It turns the complexity of planning into an agile and scalable process, which multiplies the capacity of our teams and accelerates the arrival of fibre to more people\u201d. Daniel Cort\u00e9s, Fixed Access Manager of Telef\u00f3nica S.A.<\/p>\n<p>Thanks to the implementation of this artificial intelligence algorithm, Telef\u00f3nica Espa\u00f1a has achieved level 4 autonomy in the fiber planning process, which implies an advanced capacity to execute complex tasks in an automated way. This milestone reflects progress within the Autonomous Network Journey (ANJ) program, which seeks to transform the grid into an increasingly smart, autonomous and efficient infrastructure.<\/p>\n<p>\u201cApplying artificial intelligence to FTTH network planning not only optimizes capex but puts us firmly at Level 4 of the TMF framework: autonomous, data-driven decisions that accelerate deployment and maximize business value.\u201d Nilmar Seccomandi, Director of Autonomous Network and Infrastructure of Telef\u00f3nica S. A.<\/p>\n<p>Artificial intelligence is thus consolidated as a strategic ally in Telef\u00f3nica\u2019s operational transformation, demonstrating that well-applied technology can generate tangible, sustainable and scalable value, aligned with the company\u2019s digitalisation and automation objectives.<\/p>\n","protected":false},"excerpt":{"rendered":"One of Telef\u00f3nica Espa\u00f1a\u2019s most recent and promising technological advances has been the incorporation of artificial intelligence (AI)&hellip;\n","protected":false},"author":2,"featured_media":3677,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[124],"tags":[809,2751,155],"class_list":{"0":"post-3676","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-telefonica","8":"tag-artificial-intelligence","9":"tag-fiber-network","10":"tag-telefonica"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/posts\/3676","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/comments?post=3676"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/posts\/3676\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/media\/3677"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/media?parent=3676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/categories?post=3676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/spain\/wp-json\/wp\/v2\/tags?post=3676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}