WEBINAR
AI is not enough: Why telcos need an execution layer for autonomous networks
Moving from AI-driven insights to autonomous action with agentic AI, closed-loop operations and multi-vendor orchestration
Date: Tuesday 28 July, 15:30 CET
Achieving true network autonomy requires more than generating insights. Autonomous networks need an execution layer that can coordinate actions, automate decisions, validate outcomes, and continuously optimize operations across domains and vendors.
Join, Minerve Mampaka, Product Manager at Infovista, as he explores how agentic AI enables intent-driven, closed-loop operations and shares practical examples of autonomous network optimization, SLA assurance, and automated incident resolution.
The session will also highlight lessons from the award-winning TM Forum Catalyst A2A-T Runtime – Phase III, demonstrating how standardized agent-to-agent communication can accelerate the path to autonomous networks.
Agenda:
1. Why AI alone is not enough:
Bridging the gap between AI insights and operational outcomes
2. Agentic AI as the execution layer:
Enabling intent-driven, closed-loop autonomous operations
3. Real-World use cases and catalyst insights:
Network optimization, SLA assurance, incident resolution, and lessons from the award-winning A2A-T Runtime Catalyst
4. Building the future of autonomous networks:
Standardization, interoperability, and trusted multi-vendor automatione
Minerve Mampaka
Product Manager
Specializes in network assurance, analytics, and AI-driven automation. He helps telecom operators leverage agentic AI and real-time network intelligence to accelerate autonomous operations across multi-vendor environments.
