Agenda

Collect your badge and grab a coffee & light breakfast in the exhibition!

• How telcos are redesigning networks to be AI-native rather than AI-enabled?
• The impact of cloud-native cores, Open RAN, and distributed intelligence frameworks
• How is real-time AI changing network design, planning, and lifecycle management?
• How will AI-native capabilities transform telcos from connectivity providers into platform-based, service-driven businesses?

• How to close the gap from intent to trusted outcomes?
• What role do digital twins play in creating a shared operational reality for AI agents?
• What does it take to make agentic decision-making production-ready?
• How do you scale beyond domain-level automation to autonomy that compounds value?

• What new service opportunities are next-gen networks enabling: 5G, edge, and cloud-native architectures?
• How can telecom operators evolve their role to capture value beyond connectivity in emerging digital ecosystems?
• Which real-world use cases are proving the business case for new revenue streams, and what’s next on the horizon?
• How can AI and automation unlock operational efficiencies that amplify revenue growth and service innovation?

Visit the exhibition floor, meet the sponsors & exhibitors, and grab a bite to eat

AI Agents are transforming industries and creating demand for network autonomy; AI transforms telecom and also powers Autonomous Networks L4 evolution

• Network Intelligence is now breaking through efficiency transformation
• Network Intelligence for the future is powering diverse AI services
• OpenAN accelerates agent integration for faster service innovation

• How do CSP’s move from isolated automation initiatives to fully scalable, intelligence-driven network operations?
• How to move beyond traditional automation toward Level 4–5 autonomous networks with minimal human intervention?
• What capabilities—data, AI, and orchestration—are required to enable closed-loop, self-optimising networks at scale?
• How can organizations industrialize autonomy across domains (RAN, core, transport) while maintaining reliability and control?

Autonomous networks promise greater efficiency, agility, and customer experience—but they also introduce new security challenges. This session examines how operators can harness AI to correlate threat intelligence across network domains, detect emerging fraud patterns, and evolve towards self-protecting networks capable of defending against increasingly complex cyber and fraud attacks.

• Where does AI create the most tangible value in autonomous networks today?
• How can operators translate autonomy into new revenue streams and business models?
• What role do data, APIs, and ecosystem partnerships play in unlocking monetization?
• How do you measure ROI and scale AI-driven capabilities from pilots to profitable deployment?

Join your peers on the exhibition floor for lunch & refreshments before the afternoon sessions begin

2025 saw the industry break through the highly autonomous use case barrier with real cases in real networks, but these are few and far between. The majority of the industry may have the right ambitions and are well progressed in designing architectures and POCs, but when it comes to actual adoption, how do you go from science experiment to operational transformation?

This session will cover:

• How to get the balance right between operational value and organisational adoption
• Some real examples that have worked for Ericsson
• Reflections on transformation challenges and adoption barriers
• Role of strategic partners to derisk and speed up your autonomous journey

• Where are telco’s and enterprises seeing real returns today from agentic, generative, and predictive AI across customer care, network operations, sales, and automation?
• Which AI use cases are already improving efficiency, reducing costs, driving revenue, and enhancing customer experience – and what lessons have been learned from early deployments?
• What are the biggest barriers to scaling AI today, including data readiness, integration, governance, trust, and operational complexity – and how are organizations overcoming them?
• How are operators, hyperscalers, vendors, and ecosystem partners collaborating to move AI from experimentation to measurable business impact today.

• End-to-end lifecycle management (Day 0–Day 2) of cloud-native network functions
• The role of orchestration frameworks in enabling autonomous operations
• Practical applications of agentic AI in closed-loop automation and operational decision-making
• How these approaches contribute to achieving higher-level network autonomy

• How can agentic AI help achieve network automation?
• Balancing cost and efficiency to decide where to deploy agents in the network
• How can autonomous agents interact, make decisions, and enable closed-loop systems for better network performance and efficiency?
• Exploring the transition from single-task agents to collaborative multi-agent systems for future network orchestration

Visit the exhibition floor, meet the sponsors & exhibitors, and grab a bite to eat

A dedicated session for a peer-led conversation where you will hear from a panel of women leaders who will share insight into their journeys, career defining moments and lessons learned, with time at the end for audience Q&A.

This is a closed door event.

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• How is AI enabling new revenue models beyond connectivity, from data-driven services to outcome-based and AI-powered offerings?
• Where do network APIs, edge intelligence, and automation unlock monetizable capabilities for enterprises and developers
• How can 5G networks—through slicing, low latency, and edge capabilities—be monetized with AI to deliver differentiated, high-value services?
• How can partnerships across cloud, hyperscalers, vendors, and startups accelerate the creation and scaling of AI-enabled services?
• What platform, governance, and commercial models are needed to translate ecosystem collaboration into sustainable, revenue-generating AI businesses? Are there any use cases today?

• Leveraging AI and automation to optimize operational costs, improve network efficiency, and accelerate decision-making during economic and geopolitical uncertainty.
• Building resilient and secure telecom infrastructure through autonomous operations, predictive maintenance, cybersecurity, and intelligent crisis-response capabilities.
• How does data play a part in futureproofing the networks?
• How to enhance customer experience and long-term value with reliable connectivity, proactive service assurance, and AI-driven personalization during periods of disruption and instability?

• Market consolidation rationale — why did it happen?
• The integration blueprint — governance, synergies, laundry lists of initiatives, what delivered results
• Where AI changes this going forward — predictive synergy tracking, network optimisation, workforce modelling
• What AI still cannot replace — leadership, accountability, Board trust

The FutureNet Awards has crowned 100+ winners in the past 6 years. Join us to see the 2026 winners announced and collect their trophies.

Mingle with your peers in a relaxed environment during the Drinks Reception at the end of Day One

Wine, Beer, Soft Drinks & Canapes – Complimentary for all attendees