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Predictive Intelligence for Optimized Networks & Enhanced Experience Resilience (PIONEER)

URN C25.0.852

Topics AI (Artificial Intelligence), Autonomous networks, Data management

Federated AI & Data democratization for predictive & sustainable operations

Project companies

Our approach breaks down silos and federates telecom inventory data using AI and TM Forum-defined standards (ODA, Canvas, OpenAPI, DT4DI). This unified data fabric enables CSPs to: Enhance network resilience with predictive AI use cases, such as: -Network surge prediction & capacity planning for proactive resource allocation -AI Copilot for complex network operations to automate troubleshooting and planning -Gain real-time inventory visibility across physical, virtual, and logical assets, spanning IT, RAN, edge, and AI-driven data centers Democratize data access by unifying inventory management, allowing CSPs to govern and scale AI-driven insights organization-wide Innovation & Differentiation -End-to-End AI-Driven Telecom Stack – Integrates GenAI, geospatial network views, and predictive analytics for a smarter, self-optimizing network -Open & Standards-Driven Architecture – Built on TM Forum best practices, ensuring interoperability and future scalability -AI-Powered Network Inventory Management – Automates resource tracking and optimizes capacity utilization in real time