Case Study: a telecom & network services provider cuts alert noise by 60% with Selector AIOps

Global Telecommunications Carrier Reduces Alert Noise by 60% and Advances Predictive Network Intelligence with Selector

A global telecommunications carrier, operating one of the world's largest backbone networks, faced challenges with fragmented visibility and high alert volumes across its multi-vendor infrastructure. The company needed a scalable, AI-driven approach to reduce alert fatigue and enable predictive operations for critical services. They deployed the Selector AIOps Platform hosted on Selector Cloud to address these challenges.

Selector provided AI-driven correlation, predictive analytics, and closed-loop automation. This solution reduced alert noise by 60%, improved SLA compliance, and enabled predictive monitoring for optical health and streaming integrity. The implementation on Selector Cloud also delivered greater operational efficiency and flexibility for the customer.