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BIND: Bridging Intelligence, Networks, and Digital Twin

URN C25.0.775
Topics AI (Artificial Intelligence), Data management, Digital twin

Bridge data silos across existing and new network technologies with GenAI-enabled inventory federation and digital twin for streamlined operations

Executive Summary In a recent benchmark report on Autonomous Networks (AN) involving 111 CSPs, TM Forum asked about the main challenges CSPs face when implement AN. The highest rated was integration across domains. This Catalyst combines the power of data management, AI and telco expertise to demonstrate how Digital Twins and Agentic AI can bridge across data and operational silos, revolutionizing the way networks and services operate. Challenge CSPs are at a crossroads, grappling with profitability challenges in an ever-evolving digital landscape as new technologies and services are introduced. As they seek innovative solutions, one strategy stands out: enhancing network autonomy to boost efficiency, elevate service quality and reduce operational costs. The industry’s vision? A paradigm shift from traditional human-led automation to cutting-edge autonomous networks where systems operate independently (AN Level 4 and above). Technologies such as AI, ML and GenAI are propelling CSPs forward on this transformative journey, but their success depends on bridging across data silos to provide accurate, comprehensive data. Solution Our solution demonstrates how disparate network and service data from inventory and assurance systems can be ingested and stored in a flexible data and AI layer, which is used to proactively identify service impacting issues. Autonomous, GenAI enabled Network Agents address these issues, preempting customers’ complaints by maintaining their service intent. These Network Agents, relying on comprehensive knowledge bases, recommend, simulate and resolve the proactively identified issues. This approach is aligned with TM Forum’s Digital Twin for Digital Intelligence (DT4DI) collaboration and demonstrates how operational efficiency and customer experience can be enhanced by combining Digital Twins and Agentic AI. TM Forum assets This solution uses several TM Forums assets, such as Open APIs (TMF686, TMF639, TMF 642, TMF921, etc.), and guides (IG1307 Digital Twin for Decision Intelligence (DT4DI)). Additionally, it uses Google's recently launched open Agent to Agent (A2A) Protocol, adopted by over 50 organizations, to support agent interoperability. Benefits This solution unlocks numerous benefits for CSPs, their customers and society. * Enhanced service quality and customer experience * Increased autonomy, efficiency and cost savings in operations * Superior reliability for emergency services and the digitalization of society “Innovating to cut operational costs and improve network service quality is essential. Utilizing Digital Twin and Agentic AI technologies to integrate existing fragmented data, we aim to establish autonomous processes capable of proactively identifying and resolving network issues,” explains one of the Project Champions at Vodafone. “This approach is designed to preemptively address potential network problems, thereby preventing any service impact.”

Resources

BIND: Bridging Intelligence, Networks, and Digital Twin

Background Insights

7 Practical Steps to Building a Digital Twin

The Autonomous Network Challenge

Team members

Amdocs Management Limited logo
Google Cloud logo
Prodapt North America, Inc logo
Telstra Corporation logo
Champion
TELUS logo
Champion
Vodafone Group logo
Champion

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