From vision to velocity: Why telco strategies fail, and how to actually execute them

Sessions in rooms

• Scaling AI from isolated pilots to an enterprise-wide operating model across software delivery, IT operations and customer experience
• Building an AI innovation ecosystem with governance, reusable capabilities and measurable business outcomes
• Establishing value measurement frameworks to prioritize, scale and continuously optimize AI initiatives
• Creating the foundations for an autonomous, AI-powered telecom enterprise through AI at scale

• Architecting hybrid application landscapes that integrate legacy systems with cloud-native platforms and AI services 
• Building trusted data, API and event-driven foundations that enable enterprise-wide AI adoption 
• Designing resilient, modular architectures that support continuous evolution without disrupting critical services 
• Balancing innovation, interoperability and governance across multi-cloud, multi-vendor environments 

• Standardizing API design, data models and integration patterns to reduce architectural complexity 
• Governing distributed services across multiple domains while maintaining interoperability and data consistency 
• Leveraging TM Forum Open APIs, canonical data models and event-driven architectures to simplify integration 
• Building scalable API and data governance frameworks that support ecosystem collaboration and AI-driven automation

• Modernizing OSS/BSS through modular architectures, cloud-native platforms and AI-enabled automation 
• Embedding AI into assurance, fulfilment and service operations to improve efficiency and operational resilience 
• Creating unified operational data layers that enable predictive insights and closed-loop automation 
• Transitioning from reactive operations to autonomous, AI-native IT and network management