{"id":30389,"date":"2023-11-23T10:50:28","date_gmt":"2023-11-23T09:50:28","guid":{"rendered":"https:\/\/www.intellias.com\/?p=30389"},"modified":"2024-07-22T02:37:19","modified_gmt":"2024-07-22T00:37:19","slug":"ai-in-telecommunications-top-challenges-and-opportunities","status":"publish","type":"blog","link":"https:\/\/intellias.com\/ai-in-telecommunications\/","title":{"rendered":"AI in Telecommunications: Top Challenges and Opportunities"},"content":{"rendered":"

The telecommunications industry is known for its complexity, with success hinging on efficient operations across various business units. Artificial intelligence (AI) has emerged as a promising tool to simplify and optimize these operations. Telcos are now beginning to harness AI\u2019s potential, particularly in improving the in-store customer experience call center efficiency, and workforce deployment.<\/span>\u00a0<\/span>
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Mastering Telecom Infrastructure<\/div>\n\t\t\t\t\t
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\nIn an economically challenging landscape, investment in AI may seem daunting. Nevertheless, leading telcos have already embraced AI, and new digital entrants are reshaping the industry by leveraging AI in the age of software-defined and cloud-based networks<\/a>. To stay competitive, telcos must keep pace with both evolving technology and the pioneers driving its adoption.<\/span>\u00a0<\/span><\/p>\n
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Companies will adopt AI \u2014 not just because they can, but because they must.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\tRitu Jyoti, <\/span> VP of Artificial Intelligence Program at IDC <\/span><\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n

The added value of AI in telecom<\/h2>\n

Artificial intelligence promises to address a multitude of pressing challenges in the telecommunications field while simultaneously unlocking significant value for both consumers and telecom operators. Telecommunications providers have long accumulated substantial volumes of telemetry and service usage data, much of which has remained largely untapped due to the absence of <\/span>suitable software<\/span><\/a>.<\/span>\u00a0<\/span><\/p>\n

With the advent of AI, this vast reservoir of previously underutilized data transforms into fertile ground for cultivating new services, enhancing the quality of existing ones, elevating the customer experience, and streamlining business operations. According to recent <\/span>research from Tractica<\/span><\/a>, AI is poised to generate nearly $11 billion annually for telecom companies by 2025 \u2014 a truly astonishing figure that is poised for further growth as the realm of AI applications continues to expand.<\/span>\u00a0<\/span><\/p>\n

AI in telecom software revenue by use cases<\/b><\/p>\n

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Source: Tractica<\/a><\/em><\/p>\n

For customers, the application of <\/span>artificial intelligence in telecom<\/span> services translates into a much higher level of personalization (based on order history, data consumption patterns, data profiles, call frequency and duration, etc.), going as far as custom service plans and offers as well as improved quality of voice calls and data connections for online conferences.<\/span>\u00a0<\/span><\/p>\n

From the operator\u2019s perspective, the added value of <\/span>AI in telecoms<\/span> is mainly concentrated on the back end, where it helps streamline data transmission, dynamically adjust network settings, perform calculations on IoT edge devices, and draw actionable insights from big data lakes, among other things.<\/span>\u00a0<\/span><\/p>\n

AI brings a host of advantages and opportunities:<\/span>\u00a0<\/span><\/p>\n