Intelligence with Confidence: Digitata Networks contributes to innovative TM Forum Catalyst

Intelligence with Confidence

In the push towards autonomy and AI integration, Digitata Networks stands at the forefront of credible and practical implementations of AI and automation. The future of the telecoms industry’s autonomous goals must be rooted in a strong foundation: trusted data and inventory.

 

We aren’t all talk – At DTW Ignite Copenhagen, Digitata Networks presented our catalyst “Agentic network resilience and lead to quote using AI-driven digital twin” which presents a solution to that significant barrier for CSPs in unlocking autonomous networks. To power this use case, Digitata Networks built the trusted and structured single source of truth that captures every device, port, fibre span and service on the network. This foundation powers the digital twin and truly enables autonomy within networks.

 

And the experts agree; “This Catalyst delivers a compelling and scalable approach to network autonomy by addressing one of the industry’s most fundamental challenges: lack of trusted inventory. Through agentic reconciliation, cognitive Digital Twins, confidence-based automation, and standards-aligned architecture, the solution provides a strong foundation for Autonomous Networks and extends autonomy into both operational and commercial domains.”

 

Aiming towards Autonomous Network Level 4? Digitata Networks is your expert guide on the journey towards an autonomous future. With grounded, yet innovative, and proven solutions and AI applications, and involvement at the innovative forefront of the industry with TM Forum, Digitata Networks knows what it takes to get you there.

“This Catalyst delivers a meaningful and credible step-change toward autonomous networks by addressing the foundational challenge of trusted inventory and extending autonomy through agentic reconciliation, cognitive Digital Twins, and closed-loop decision-making…The integration of autonomous operational and business use cases demonstrates broad applicability and strong alignment with Autonomous Networks Level 4 objectives.”

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