{"id":3260,"date":"2025-04-08T08:00:00","date_gmt":"2025-04-08T15:00:00","guid":{"rendered":""},"modified":"2026-04-11T13:36:10","modified_gmt":"2026-04-11T20:36:10","slug":"the-transformative-impact-of-ai-and-generative-ai-on-oss-and-bss-in-telecommunications","status":"publish","type":"ms-industry","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-cloud\/blog\/telecommunications\/2025\/04\/08\/the-transformative-impact-of-ai-and-generative-ai-on-oss-and-bss-in-telecommunications\/","title":{"rendered":"The transformative impact of AI and generative AI on OSS and BSS in telecommunications"},"content":{"rendered":"\n

As telecommunications operators grapple with exponential growth in data usage and the demands of modern consumers, the role of operations support systems (OSS) and business support systems (BSS)<\/a> is being reimagined to address these pressures. Once defined by siloed architectures and manual processes, core systems are now evolving into intelligence-driven platforms\u2014bolstered by AI, generative AI, and, increasingly, agentic AI capable of proactive, autonomous operations. Realizing this future depends on a fundamental prerequisite: fully consolidating the telecom data estate.<\/p>\n\n\n\n

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What are OSS and BSS?<\/h2>\n\n\n\n

Learn how to streamline processes and drive growth<\/p>\n\n\n\n

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Modernizing OSS and BSS: From reactive to agentic AI<\/h2>\n\n\n\n

OSS and BSS have long been the operational and commercial backbone of telecoms. Generally speaking, OSS manages network operations\u2014provisioning, inventory, and fault detection\u2014while BSS handles transactional functions like billing and customer management. Traditionally, these environments have remained fragmented, hindering a unified view spanning the customer, the network, and the business.<\/p>\n\n\n\n

Thanks to advances in data management, AI and generative AI, these systems can now move beyond reactive troubleshooting to automated, predictive, and\u2014even more significantly\u2014agentic<\/strong> solutions, in which AI autonomously orchestrates tasks end-to-end. Whether it\u2019s proactively responding to service degradations or autonomously managing resolving customer issues, agentic AI promises unprecedented cost mitigation, efficiency, and agility. <\/p>\n\n\n\n

However, <\/strong>effectively harnessing the proactive benefits of agentic AI requires telecom providers to establish a unified source of data truth through seamless data accessibility, rather than trying to consolidate all data onto a single platform. By enabling unified access to network, operational, and business data through a singular data catalog\u2014such as Microsoft Fabric, which utilizes shortcuts and mirroring\u2014telecoms ensure AI-powered insights are accurate and comprehensive. Without cohesive access to high-quality data, AI-powered insights risk becoming fragmented or misleading, limiting the transformative potential of autonomous decision-making and potentially leading to inaccurate, risky decisions. <\/p>\n\n\n\n

The critical importance of data accessibility and cohesion is exemplified by AT&T’s migration to Azure Databricks<\/a>, highlighting tangible benefits: <\/p>\n\n\n\n

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  1. Unified data access and operational visibility<\/strong>: Instead of traditional consolidation, unified data access through platforms like Microsoft Fabric provides comprehensive context, enabling AI algorithms to generate precise, actionable insights. AT&T\u2019s migration to Azure Databricks<\/a> illustrates how improving accessibility to quality data across silos empowers technical staff, enhances analytical capabilities, and improves decision-making accuracy\u2014dramatically reducing the risk of overlooking critical dependencies or making suboptimal decisions.<\/li>\n\n\n\n
  2. It enables closed-loop intelligence<\/strong>: Agentic AI extends beyond merely analyzing data; it proactively acts in near real-time. A cohesive data access approach, like the one implemented by AT&T, facilitates rapid anomaly detection and automated corrective actions within network and revenue systems. This closed-loop intelligence is crucial for next-generation AIOps, enabling seamless and automated responses across the entire telecom infrastructure. <\/li>\n\n\n\n
  3. It accelerates new revenue opportunities<\/strong>: Providing cohesive access to operational and business data creates agile, scalable monetization pathways. AT&T\u2019s adoption of Azure Databricks accelerated its ability to launch new services by automating complex data processing and analytics tasks. Similarly, telecoms leveraging unified data access solutions can rapidly provision and monetize services such as customized 5G and 6G experiences or on-demand network slicing\u2014shifting from manual processes to dynamic, programmable offerings.<\/li>\n<\/ol>\n\n\n\n

    A modern, agentic, cloud-native OSS and BSS environment built on public cloud principles doesn\u2019t just serve the operator; it also creates a frictionless platform for third-party and ecosystem partners to plug in. Whether it\u2019s Internet of Things (IoT) device vendors, over-the-top content providers, or enterprise service integrators, cloud-native OSS with open APIs allows rapid partner onboarding and co-creation. In turn, operators can easily expand their portfolio with new revenue streams\u2014bolstering the business to business to everything (B2B2X) model\u2014while still maintaining centralized oversight and robust security at scale. <\/p>\n\n\n\n

    Agentic AI in action: From insight to autonomous operations<\/h2>\n\n\n\n

    Faster time-to-market for new services<\/h3>\n\n\n\n

    Traditionally, launching a new offering in telecom could take upward of 50 weeks, hindered by lengthy approvals, hardware provisioning, and siloed systems. In a cloud-native environment, operators can test, iterate, and deploy new products\u2014like on-demand network slicing or advanced IoT bundles\u2014in days or even hours. This speed is a game changer for operators transitioning from \u2018telcos\u2019 to \u2018tech-cos,\u2019 where continuous experimentation and rapid scaling of successful pilots are essential to staying competitive. Coupled with agentic AI that autonomously manages tasks, cloud-based OSS and BSS ensures you don\u2019t just move faster\u2014you move smarter. Leading telecoms are already laying the groundwork for agentic AI by adopting:<\/p>\n\n\n\n