2025电信行业AI垂直化白皮书

Table of contents page Abstract01 The Value of AI Verticalization02 Telco - Grade Agents03 Enterprise - Grade Agents04 From Theory to Practice05 Abstract This document explores the transformative potential of AI verticalization within the telecommunicationsindustry. By customizing AI capabilities to meet industry-specific needs, companies can enhanceefficiency, effectiveness, and trust. The document delves into the specific functionalities required for AIagents to support telecommunications companies, focusing on both telco-grade and enterprise-gradeagents and their operations.Key topics include the unique attributes and requirements of telco AI agents, such as understanding telco terminology, ontology, and context. Also covered is the integration ofadvanced technologies from Amdocs, NVIDIA, and AWS to deliver personalized customerexperiences and robust operational capabilities. Additionally, practical frameworks for AIagents’ personality engineering and customer experience personalization are discussed.By providing a unified definition of telco-grade agents, this document provides readers witha comprehensive understanding of the critical functions and benefits of AI verticalization fortelecommunications. It concludes with a practical example, illustrating the transition from theoreticalframeworks to real-world implementation through a collaborative project undertaken by Amdocs,NVIDIA, and AWS. The value of AI Verticalization AI verticalization enhances agent design by tailoring capabilities to address industry-specific needs andfunctions. This approach ensures that agents acquire the domain-specific knowledge required to delivermore precise and relevant services. By focusing on a specific industry, the agent develops familiarity with itsunique needs, empowering it to provide tailored solutions that improve efficiency and effectiveness. Verticalized AI agents can quickly adapt to changes while staying accurate and reliable. This not only boostscustomer satisfaction but also drives innovation in the industry. It allows for the creation of advanced,customized applications. For example, verticalized agents can handle complex operational tasks, from customer service to networkmanagement, leveraging advanced machine learning algorithms and deep learning techniques to interactseamlessly with users. Furthermore, their analytics capabilities allow them to process and interpret vastamounts of data in real-time, providing actionable business insights. Another key strength is their proficiency in managing end-to-end processes. By integrating with industry-specific systems and platforms, verticalized agents ensure smooth operations across the ecosystem. Unlikegeneric AI systems, they can autonomously initiate actions, monitor performance, and respond to dynamicchanges. Additionally, their robust security protocols safeguard sensitive information, ensuring compliancewith industry regulations. Verticalized AI Agents adhere to the following principles: •Understanding industry terminology•Developing specific ontology•Enabling reasoning•Maintaining the domain context By implementing these principles, verticalized AI agents can significantly enhance operational efficiency,customer satisfaction, and overall industry innovation. Telco Grade Agents The dynamic communications industry demands a unified framework for standardized telco-gradeagents, especially given the market’s complexity with numerous providers and varying standards. Effectivestandardization ensures consistent performance, interoperability, and efficiency, enabling agents to deliverhigh-quality services while following the industry’s best practices. What is a “Telco Agent”? Telco GenAI agents are advanced AI systems that possess extensive knowledge and expertise in the telcodomain. Training on telco data enables them to perform effectively across the entire industry ecosystem. Using advanced AI technologies like machine learning and natural language processing, telco AI agentsunderstand and interact with users naturally. They excel at handling large amounts of data, makingsmart decisions, and improving their performance over time. Their main strength is being able to actautonomously and being proactively, connecting to different systems, and communicating directly withcustomers and other agents to manage entire processes. Verticalization of Telco Agents Implementing telco AI agents begins by establishing a solid foundation rooted in industry expertise. Initially,intelligence is extracted to replicate the best behavior and provide the optimal customer experience tailoredto telco needs, rather than merely offering 24/7 availability of bots. During this extraction process, differentroles, their functions, the processes they follow, the systems they connect to, and the variations of theseprocesses are identified alongside their performance metrics specific to telco operations. Next, intelligence is applied by establishing the appropriate com