TRACK ONE: OPENING SESSION: 09:00 – 10:30

The New Economics: Growth, profitability and customer experience in an AI-driven market

09:00 – 09:10 Opening Remarks George Glass, CTO, TM Forum

09:10 – 09:40 CSP Panel: Navigating innovation, complexity, and monetization

• What’s keeping CIOs awake at night? Examining the pressures of integrating legacy systems, supporting rapid service delivery, and maintaining operational stability in a digital-first world
• How composable, modular IT architectures enable agility, faster rollout of new services, and seamless adoption of emerging technologies
• Demonstrating how flexible IT platforms can directly unlock new revenue streams, dynamic services, and improved customer experiences
• Lessons learned from large-scale deployments in Asia on balancing technical complexity, governance, and measurable business outcomes

9:40 – 10:00    Keynote Fireside Chat: Building smarter services: Setting the vision for greater operational efficiency

10:00 – 10:15 Case Study: Leveraging intelligence: Turning AI insights into profitable growth

• How CSPs are using AI and analytics to identify new revenue streams beyond traditional mobile services
• Leveraging AI to anticipate customer needs, optimize SLAs, and proactively enhance experience
• Demonstrating multi-domain orchestration and AI-powered fault resolution at scale
• Co-creating services with hyperscalers, enterprise clients, and technology partners to accelerate innovation and measurable ROI

10:15 – 10:30 Fluid by design: How Autonomous Networks can deliver seamless customer experiences

• Autonomous, closed-loop control continuously adjusts network resources to traffic patterns, location, and application needs, keeping experiences smooth even during peaks.
• AI-driven monitoring and prediction detect experience degradation before customers notice, enabling self-healing actions that reduce interruptions and complaints.
• End-to-end automation across RAN, core, transport, and edge ensures seamless performance as customers move, roam, and switch devices or services.
• Intent-based automation translates customer experience goals (QoE, latency, reliability) directly into network actions, making “fluid experience” a design principle rather than an outcome.

SESSION 2: 11:00 – 12:30

Engineering Efficiency: Designing leaner, smarter, AI-native networks for 2026 and beyond

11:00 – 11:20 Case Study: Lean networks for the next decade

• Building efficiency into network design: How greenfield operators are integrating AI and automation from day one
• Optimizing energy and resources: Using intelligent controllers and AI agents to reduce power consumption and OPEX
• Autonomous service operations: Enabling self-optimizing networks that align operational efficiency with customer KPIs
• Preparing for Level 4+ autonomy: Lessons for legacy operators in adopting modular, scalable, and future-proof network architectures

11:20 – 11:30 Presentation: All-photonics networks: The IOWN vision for next-generation infrastructure

• How all-photonics networks redefine speed, latency and energy efficiency for AI-driven applications
• Slicing at light speed: Enabling multi-tenant, high-capacity slices across photonic transport and edge domains
• Achieving massive energy reduction targets aligned with Asia’s green digital goals
• Opportunities for CSPs to engage in IOWN pilots and integrate photonics innovation into TM Forum frameworks

11:30 – 12:00 Panel Discussion: Steering operational agility through intelligent automation

• Using AI-powered monitoring and predictive maintenance to anticipate faults and optimize resource usage
• Implementing multi-domain automation across RAN, core, and transport networks
• Lessons from digital twin deployments, automated workflows, and intent-based control
• Achieving measurable reductions in MTTR, operational cost, and improved QoS for subscribers

12:00 – 12:30 Panel Discussion: Unlocking telecom growth across the region  

• Which AI investments can truly move the needle on revenue and profitability?
• How can operators use AI and cloud platforms to deliver next-level customer experiences without exploding costs or complexity?
• What is the role of ecosystem partnerships with hyperscalers, vendors, and enterprise clients in creating new monetization opportunities?
• As automation and intelligent networks scale, how should operators measure ROI and ensure every initiative aligns with strategic business outcomes?

12:30 - 13:30 - Lunch break

SESSION 3: 13:30 – 14:30
Building the future workforce:  Skills, talent and leadership for the autonomous network era

13:30 – 13:45 Case Study: Transforming talent for the next-generation telecom network

• Addressing the retirement of experienced network staff while developing new AI and automation skills internally
• Deployment of structured training programs, on-the-job learning, and mentorship initiatives to transition IT engineers into network autonomy roles
• Ensuring talent development supports efficiency, customer experience, and the operator’s roadmap to Level 4 autonomy
• Tangible outcomes, including reduced manual interventions, faster incident resolution, and improved operator confidence in AI-driven decision-making

13:45 – 14:15 Panel Discussion: Shaping the future workforce

• Who will replace retiring talent? Exploring recruitment strategies, cross-industry talent sourcing, and pathways for new graduates and career switchers
• Identifying competencies in AI, data analytics, intent modelling, automation, and cross-domain orchestration that will define the future workforce
• How operators can foster a culture of continuous learning, agility, and trust in AI-enabled operations
• How can we work together to build a sustainable, future-ready telecom workforce across Asia? What is currently lacking and what more is needed?

14:15 -14:30 Wrap up of the day

From vision to deployment: Asia’s roadmap to Level 4 and beyond

14:00 – 14:10 Industry Overview: Autonomous networks: From vision to self-optimizing reality

• Industry update on redefining network operations through intelligence
• How AI, analytics, and closed-loop automation are transforming network management from reactive maintenance to proactive, self-healing operations
• The road to self-optimizing networks: practical steps and lessons from telecom pioneers
• From intent-based operations and zero-touch provisioning to measurable CAPEX/OPEX efficiency gains and enhanced customer experience

14:10 – 14:25 Presentation: Navigating the journey to Level 4 and beyond

• Outlining TM Forum’s 2026 Autonomous Networks roadmap and what Level 4+ truly represents for global CSPs
• How TM Forum’s three Missions (Autonomous Networks, Composable IT & Ecosystems, and AI & Data Innovation) converge to create an unbroken current of transformation
• From pilots to production: The frameworks, playbooks and benchmarks enabling operators to operationalise autonomy at scale
• Why regional collaboration across Japan, Korea and ASEAN is critical to establishing early global leadership in Level 4+ deployment

14:25 – 14:40 Presentation: Reaching Level 4 autonomy at scale

• Deploying AI-native architectures and closed-loop automation to transform network operations
• Identifying the key steps to achieve reduced fault resolution times and improved SLA compliance
• Achieving measurable OPEX efficiencies and measurable energy savings
• Practical lessons in scaling automation while maintaining network stability and service quality

14:40 – 15:00 Presentation: Building the foundations for autonomous operations: cloud, data and collaboration in motion

• How network ontology, cloud-native design and digital twins create the baseline for AI-native operations
• Converting raw, siloed data into actionable insights that power predictive, generative and agentic AI in real time
• Using Open APIs, ODA and the AN Framework to assess readiness, shape architecture and orchestrate deployment
• Presenting a practical, repeatable blueprint for Asian operators to accelerate their pathway to Autonomous Networks

15:00 – 15:30 Panel Discussion: From network to platform: Driving revenue and innovation in the AI-native era

15:30   Networking Break

16:00 – 16:20 Case Study: Turning AI autonomy into measurable customer and business impact

• Harnessing agentic AI to dynamically adjust services, anticipate demand, and maintain seamless experience across peak and edge scenarios
• Shifting from reactive management to proactive orchestration, reducing manual interventions and unlocking efficiency at scale
• Translating AI insights into improved SLA adherence, faster issue resolution, and tangible gains in customer satisfaction
• Integrating partners, tools, and processes to extend AI-driven operations beyond the core network, creating end-to-end service reliability

16:20 – 16:40 Presentation: Turning networks into intelligence

• Demonstrating integration across RAN, core, transport, and cloud to deliver seamless, intent-based operations
• Real-world examples of predictive fault management, self-optimizing workflows, and continuous performance improvement
• Collaborating with CSPs and TM Forum frameworks to create reproducible, scalable autonomous network implementations across Asia

 16:40 – 17:00 Case Study: Transforming data centres for sustainability and cost efficiency: Journey to net zero operations

• Reengineering cooling, energy management and infrastructure to reduce power and water usage while supporting AI and digital growth
• Advancing toward 2030 targets through renewable energy, efficient architecture, and low carbon power deployment
• Using AI-driven temperature control, liquid cooling, and heat recovery to cut energy use and improve PUE
• Turning sustainability investments into cost savings, risk reduction, and enhanced customer value

17:00 – 17:30 Panel Discussion: Navigating the road to Level 4: Challenges, strategies, and next steps

• Examining technical, operational, and organisational barriers that slow autonomous network adoption
• Identifying quick wins and practical enablers for rapid progress toward Level 4 readiness
• Exploring the roles of internal teams, vendor partners, and industry consortia in overcoming shared challenges
• Prioritising actionable next steps to accelerate measurable results across networks and services

17:30   Close