Key insight Swisscom uses AI to streamline network operations and save engineers time
Swisscom, Switzerland’s leading telecom provider, tackled a major challenge: network engineers spent over 10% of their time manually gathering and analyzing fragmented network data. This repetitive task reduced efficiency and increased risks of human error. To address this, Swisscom developed the Network Assistant using Amazon Bedrock’s generative AI and a sophisticated data pipeline. This AI-powered solution automates data retrieval, analysis, and KPI calculations, saving nearly 200 hours per engineer annually and improving accuracy and scalability.
Next steps to advance Swisscom’s AI-powered network operations. – Develop a network health tracker agent for proactive KPI monitoring and automated issue categorization. – Integrate Amazon Simple Notification Service (SNS) for real-time alerts to on-call engineers, enabling faster incident response. – Expand data sources and use cases to cover more internal network systems for comprehensive insights. – Enhance troubleshooting capabilities leveraging growing knowledge base and multi-agent reasoning. – Adopt infrastructure as code (IaC) to improve deployment consistency and manageability. – Continue refining guardrails and AI model grounding to ensure data security and ethical compliance
Swisscom’s case demonstrates how telecom providers can leverage AWS generative AI services like Amazon Bedrock to automate complex network data workflows. By combining advanced AI with scalable, secure cloud services, organizations can unlock significant operational efficiencies and enable their engineers to focus on higher-value activities.
