Abstract
Traditional maintenance is reactive or time-based that often leads to costly outages and dissatisfied customers. AI-driven predictive maintenance offers a proactive solution: by analyzing network data patterns, AI detects anomalies, anticipates failures, and recommends preventive actions before disruptions occur. This shift enables operators to reduce downtime by up to 50%, cut maintenance costs by 30–40%, and boost reliability. This whitepaper details how AI-powered predictive maintenance transforms telecom operations, highlights enabling technologies, shares multi-operator insights, and showcases Tech Mahindra’s Orion platform for building self-learning, resilient networks.
Key Insights
Benefits of AI
AI transforms maintenance from reactive to proactive, enabling early fault detection, reduced downtime, and optimized costs.
Framework and Platform
Tech Mahindra’s proprietary framework and Orion platform unify data, analytics, and automation for scalable, governance-first AI maintenance. Orion accelerates predictive maintenance with agentic AI and modular interoperability.