Providing services that keep their quality level while optimizing resource allocation and energy consumption through IDAN.
Discover the future of network management with intent-driven autonomous networks. As Network and IT landscapes grow in complexity, so does the need for adaptive solutions. Our approach centers on intent—defining desired outcomes to be achieved by autonomous networks. But it doesn't stop at conflict resolution; these networks optimize results, ensuring the best outcomes while balancing diverse user demands. Operating autonomously, they identify and tackle conflicts across layers, ensuring seamless performance. With an assurance-first ethos, these networks prioritize requirement fulfillment and continuous monitoring, enhancing utility and satisfaction. Featuring self-adaptation, predictive digital twins, and integration across domains, embrace intent-driven networks for elevated efficiency, adaptability, and customer experiences.
IDAN Purpose, Benefits and Outcomes
E2E IDAN Demo (TIO, KG, MR, LLM)
Demo 1: GenAI and Intent Demo (short)
Demo 3: IDAN Phase III - Symphonica to RIMF integration
IDAN MAIN OBJECTIVES, PHASE II AND III
IDAN 2 to 3 - Progression Overview
Intraway - Symphonica Brochure
ADN Building Self-fulfilling, Self-healing, and Self-optimizing Autonomous Networks
How to use autonomous networks for conflict resolution through intent APIs
Email the members of the Catalyst team to request more details.
Providing CSPs with a single comprehensive view of their network operations, through a solution using generative AI and digital twins to enable CSPs to federate data from multiple sources.
Introducing a bespoke GenAI-powered framework to detect, resolve, and prevent anomalies – turning complexity into a competitive edge.
Introducing four intelligent digital agents that automate fault resolution, energy optimization, and SLA-based service delivery in complex 5G-A networks.