Predictive Network Operations Implementation Case Study

This case study outlines the implementation of Cisco's AI-driven networking portfolio by a global manufacturing company facing operational challenges due to increasing complexity in its enterprise and production networks. The company, with approximately 5,800 employees across 13 international sites, dealt with issues stemming from cloud-based applications, distributed locations, and AI-driven workloads, which heightened operational pressure. The reliance on manual processes and reactive troubleshooting, coupled with limited visibility, hindered early issue detection, impacting production continuity and business performance. The implementation of Cisco AI Access provided consistent, identity-based access across all locations, while AI Ops automated monitoring and anomaly detection. Cisco AI Canvas facilitated a collaborative workspace for analyzing operational risks. As a result, the organization transitioned to predictive network operations, significantly reducing incident resolution times and improving network stability, ultimately aligning with its global growth strategy.