Zero-Touch Networks: From Automation to Full Autonomy—No Humans Needed?

Implementing AI-driven orchestration for end-to-end network management without human intervention.
Leveraging machine learning to automatically detect, diagnose, and resolve network issues in real-time.
Case studies showcasing telecom operators reducing manual intervention and accelerating response times through full network autonomy.

Reimagining NOCs with AI and Autonomy

Building intelligent NOCs through AI-powered decision-making. 
Minimizing downtime through AI-enabled predictive maintenance. 
Real-world case studies on CSPs achieving efficiency and agility through AI in NOCs.

Building Self-Healing, Scalable Networks with Agentic AI

Harnessing agentic AI to autonomously manage and optimize network operations. 
Enabling AI to detect and resolve issues in real-time, minimizing downtime. 
Scaling AI-driven solutions for enhanced network performance and cost efficiency.

Cloud + Edge + AI: The Power Trio Behind Autonomous Networks

Integrating cloud, edge, and AI to create fully autonomous network operations.
Leveraging edge computing to reduce latency and improve real-time decision-making with AI.
Real-world examples of telcos driving innovation and efficiency through the convergence of cloud, edge, and AI.

AI Everywhere: Unlocking Efficiencies from RAN to Core

Exploring the role of AI in optimizing network performance from the Radio Access Network (RAN) to the core.
Harnessing AI for predictive analytics to enhance network planning, performance, and fault detection.
Practical applications of AI improving operational efficiency and reducing costs across network layers.

Smarter Networks, Bigger Savings: AI’s Role in Energy & Cost Efficiency

Utilizing AI to optimize energy consumption and reduce operational costs in network infrastructure.
Implementing AI-driven tools for network load balancing and resource allocation to maximize efficiency.
Case studies demonstrating significant savings and energy efficiency gains in network operations through AI.

Agenda