Making network operations more accessible with large language models
AI Agents transforming telecom: Efficiency, experience, and beyond. Welcome to join us at C12 booth in Hall 3 for details! CSPs face growing challenges in driving business growth while managing increasingly complex operations. Current siloed AI deployments limit efficiency, hinder ROI assessment, and create barriers to staff engagement with AI. The rise of Large Language Models (LLMs) and AI agents presents a transformative opportunity to address these challenges. However, they also present unique technical obstacles, such as reconciling the deterministic requirements of applications with the inherent uncertainty of LLM outputs, enhancing LLMs' accuracy in complex task planning, and improving their ability to continuously reflect and adapt during execution. Participating operators and vendors have reached an industry consensus that LLM-based AI agents are the key to tackling these issues. They also point out that operators need a systematic approach to guide the application of this advanced technology in production to achieve goals such as improving operational efficiency, enhancing customer experience, and exploring rapidly evolving demands, ultimately reaching a new level of autonomous operations. This innovative project pioneers the introduction of an LLM-based AI agent implementation framework and technical architecture, promoting the seamless integration of LLMs and AI agents with telecom operator processes. The implementation framework includes the VOF value model and execution system, adhering to industry standards such as ODA, AIOps, DT4DI, and AOMM, ensuring scalability and adaptability in telecom business cases. The technical architecture applies the operator's digital twins and domain knowledge to large model training. The framework proposes the use of engineering methods to effectively reduce AI agent hallucination and lower the threshold for business personnel to write agents, greatly improving the reliability and usability of AI agents and making them applicable to multiple value streams in telecom operations, maintenance, and customer experience management. In this project, China Telecom and HKT conducted pilots in areas such as broadband home self-service, customer complaint handling, and VVIP user experience assurance, achieving tangible results in operational efficiency improvement, operational cost savings, and customer satisfaction enhancement. Operators plan to extend the solution to support a wider range of areas, including new business development, stable and secure operations, operational efficiency improvement, and green energy-saving initiatives. This project sets a new benchmark for best practices for other telecom operators and vendors. Furthermore, participants are actively collaborating to participate in TM Forum standard construction, promoting broader industry cooperation and encouraging more partners to embark on this transformative journey together.
Arena Presentation for C672
Industry Consensus and Key Innovations
Busines Value
China Telecom and Huawei contributed to the development of CCSA standards based on project experience.
HKT demo: VVIP Experience Guarantee
HKT Business case: VVIP Experience Guarantee
China Telecom Demo: Leveraging LLM-based AI Agent for Homebroadband Self-Service APP
China Telecom Business Case: Home Broadband Customer Service Improvement via LLM-based AI Agent
IG1190A AIOps Configuration Management
IG1190B AIOps Change Management
IG1190D AIOps Acceptance Testing
IG1190F AIOps Monitoring and Event Management
IG1190H AIOps Problem Management
IG1190I AIOps Application & Data Maintenance
IG1190J AIDataOps
IG1190K AIOps Capacity Management
IG1190M AIOps Decommission
IG1190O Prompt Engineering
IG1274F End-to-End AIOps System Functional Architecture
IG1274H AIOps Capability Management
IG1274I AIOps Knowledge Centre
IG1274K Large Language Models in Network Operations Management
TMF Asset Used and Contribution
How generative AI could revitalize profitability for telcos
LLM Powered Autonomous Agents
Just 14% of Frontline Employees Have Received Training to Address How AI Will Change Their Jobs, but 86% of Employees Say They’ll Need It
HKT and Huawei innovation team aligns business scenarios with AI agent implementation plans
Catalyst team in bi-weekly meeting
Email the members of the Catalyst team to request more details.
Tackling the challenges of managing complex enterprise deals to make enterprise business repeatable and profitable for CSPs.
Empowering networks with AI: Boosting resilience, reducing costs, and unlocking new telecom possibilities.
Revolutionizing industry solutions with end to end AIOps: Unlocking 5G, Network as a Service and Satellite communication for a sustainable connected future