17 - 19 November, 2026
Bangkok, Thailand
Green intelligence: Cutting cost and carbon with AI-driven networks
November 18, 2026
16:00-17:30
Impact Stage
Autonomous Networks
Autonomous operations
Session overview: Discover how leading operators across Asia-Pacific are using Level 4 autonomy, AI-native operations and intelligent network optimization to reduce energy consumption, improve resource efficiency and accelerate progress towards ambitious net-zero commitments.
Smarter networks, smaller footprint: Delivering measurable sustainability through autonomous operations
Smarter networks, smaller footprint: Delivering measurable sustainability through autonomous operations
- How AI-powered operational intelligence is enabling continuous optimization of network resources, dynamically balancing energy consumption, capacity and customer experience across nationwide 5G networks
- Using AN to reduce power consumption, improving asset utilisation and supporting ambitious carbon reduction targets without compromising network performance
- How predictive traffic analysis, intelligent sleep modes and real-time workload orchestration help match network resources more closely to customer demand throughout the day
- Achieving reductions in energy consumption, operating costs and carbon emissions, while supporting long-term sustainability and business resilience
- Optimizing energy consumption across multi-vendor network environments
- Co-ordinating energy efficiency across radio, transport, cloud and data centre infrastructure rather than optimising individual domains in isolation
- Using AN to balance energy efficiency, network resilience and service quality, adapting intelligently in real time to changing traffic patterns and operational conditions
- Making carbon efficiency a native outcome of autonomous operations rather than a separate optimization exercise
- Improving energy efficiency across thousands of radio sites through intelligent power management and AI-enabled operational decision-making
- How cross-domain operational intelligence enables energy optimization across RAN, transport and core infrastructure
- Using digital twins and predictive analytics to reduce operational waste by validating network changes, improve resource utilization and support more efficient capacity planning
- Examining how sustainability has become a measurable business outcome within China Mobile's broader Level 4 AN strategy
- How AI-powered traffic forecasting and autonomous optimization are improving energy efficiency
- Using intelligent network operations to balance performance, spectrum utilization and power consumption and reduce operating costs
- Enabling engineers to identify energy-saving opportunities before network performance is affected
- Strengthening long-term network resilience and supporting corporate ESG commitments
- As energy demand continues to rise, how can operators reduce carbon emissions without compromising CX, service quality or network resilience?
- Which AI-enabled sustainability initiatives are already delivering OPEX returns, and where are operators seeing the fastest progress across APAC?
- How can CSPs move beyond isolated energy-saving initiatives towards network-wide resource optimization?
- Looking ahead to 6G and AI-native telecom operations, will carbon efficiency become a core KPI for autonomous networks alongside resilience, customer experience and operational performance?
