Reinventing network operations — new performance, new possibilities

Sessions in rooms

Autonomous networks are not just about reducing manual work, they fundamentally change what networks are capable of achieving. Join us as we examine how automation and AI are redefining operational performance, from faster fault resolution to adaptive optimisation and predictive operations and discover how operators are using autonomy to raise the bar on service quality, network stability, and operational excellence.

14:15 - 14:35
Case study: Always-on optimization: How autonomous systems continuously improve the network

• How real-time data feeds closed-loop optimization
• Moving from reactive to predictive network behaviour
• Where automation delivers the biggest performance gains
• Examples of continuous improvement in live environments
• What it takes to sustain optimisation at scale

14:35 - 14:55
Fireside chat: Transforming fault resolution with autonomous workflows

• How faults are detected, analysed, and resolved automatically
• Reducing outage time and customer impact
• Balancing speed with stability in closed-loop remediation
• Real incidents and what autonomy changed
• Operational results achieved through self-healing systems

14:55 - 16:10
Presentation: Designing networks that adapt in real time

• Dynamic traffic management and resource allocation
• How autonomous behaviour supports new service demands
• Lessons from implementing adaptive networks in production
• Why adaptability is becoming a competitive differentiator
• What’s next for performance-driven autonomy

16:10 - 16:15
Interactive Exchange: What performance gains matter most to operators today?
To conclude, this session will feature an interactive exchange around the performance gains that matter most to operators today. Get ready for live polling and discussion around:

• Reliability vs speed vs efficiency
• Where does autonomy deliver the most visible impact?
• Which use cases are ready now?

15:15
Close of session.

Please note, all session timings are provisional and may be subject to change.