Mobile infrastructure Care

As today's mobile networks evolve, Digital Care Services bring increased complexity and new demands on performance, capacity and efficiency. Nokia's AI-based mobile network support services are designed to address these challenges, providing an intelligent solution that meets the pressing and intricate needs of today's network environments. Traditional models face challenges in identifying root causes, troubleshooting complex issues and keeping pace with the volume and complexity of support requests.

AI-powered mobile network support services can help address these challenges by:

Automate Troubleshooting: Al analyzes network data to swiftly identify potential issues, reducing problem-solving time and effort.

Enable Predictive Maintenance: ML algorithms forecast network failures, enabling proactive maintenance and minimizing downtime.

Enhance Knowledge Management: Al optimizes technical documentation, providing support teams with efficient access to the right information.

Scale Support Operations: Al-powered chatbots and virtual assistants handle high volumes of support requests, allowing human teams to focus on complex cases.

Nokia's holistic Predictive Care service combines Predictive Hardware Analytics and Predictive Software Analytics with multi-source data intelligence, GenAI-powered contextual understanding, and an Agentic AI framework. By correlating data across network and operational domains, the solution predicts hardware risks up to 14 days in advance with more than 85% confidence and software performance anomalies up to 3 days in advance with up to 95% confidence. It identifies likely root causes and delivers customer-specific, context-aware recommendations aligned with business priorities, SLA commitments, operational requirements, regulatory policies, and network-specific constraints, enabling operators to transition from reactive troubleshooting to proactive and increasingly autonomous network operations.

Powered by a deep telecom knowledge base and Nokia Bell Labs expertise, the Agentic AI framework goes beyond prediction by determining the next best actions and supporting their execution before issues impact network performance or customer experience. By combining predictive analytics, GenAI-powered intelligence, and agentic decisioning, the solution transforms isolated prediction and troubleshooting activities into a coordinated decision-and-prevention system that accelerates automation and helps operators achieve higher levels of operational efficiency and service assurance.