Agenda

• Where are the use cases: how to be more customer led?
• Collaborating more effectively to launch new AI enable services?
• Scaling services for ROI

• AI or Automation: What to use in your network, where and for what services?
• Addressing the technical, operational, and ethical considerations of deploying Predictive, Generative and. Agentic AI in telecom networks
• What new services can they enable? Which uses cases can we see gaining traction
• Real-world examples of AI in action

• • • Digital Twin: The foundation for Agents
    • Real-World Use Cases: From Root Cause to Service Design and Dynamic Reporting
    • Scaling Agents: Challenges and Mitigations

• Shifting the mindset from automating tasks to unlocking new capabilities and growth opportunities 
• Driving business model innovation, smarter models and new monetizable services that are demand led 
• Exposing agentic workflows as services/APIs to enable ecosystem growth rather than closed-loop automation.  
• How can agentic AI be applied to re-architect the telecom value chain for an agile, customer centric future?  

Moderator:

• Defining autonomous operations: benefits and where it can make a difference
• Understanding why autonomous Operations is a critical foundation for AN L4?
• Predictive, generative or agentic: What role can AI play and where?

• Re-examining the path to autonomous networks: what level, where and for what purpose?
• Simplifying networks to create a solid foundation for AN
• Leveraging AI to accelerate innovation: Enabling a new ecosystem & engagement models
• Towards fully autonomous: moving to the next level – what is the roadmap?

Moderator:

• Embed self-evolving knowledge directly into operational workflows
• Turn operations into a continuously learning system
• Explainable AI traceable to semantic knowledge graph
• Transform AIOps from system of reporting into system of understanding

• Developing a practical roadmap for adopting AI in RAN automation
• How AI transforms the RAN supply chain to foster collaboration across the ecosystem
• Exploring commercial use cases for AI RAN and APIs
• How can AI RAN fulfil its potential and what are the strategic next steps for its evolution?

Moderator:

• Capitalising on hosting enterprises and government workloads in sovereign cloud environments
• Partnering with hyperscalers: where to fit in the value chain
• Enabling flexible workload management

• Getting data ready: what is needed for what AI?
• Data governance, management, stewardship – how to resolve?
• Moving away from data ingestion, from use case based to horizontal approach
• What is the technology landscape & architecture needed to work with data cross domain
• Combining network data, customer data etc and maximising the utilisation of this data

Moderator:

• AI Data Vulnerabilities: Identifying weaknesses, bugs, and failures in AI data pipelines and systems.
• Hacking the Model: Real-world examples of jailbreaks, prompt injection, and attacks targeting analytic outputs.
• Data Risks & Bias: Managing unalignment, algorithmic bias, and the integrity of data used in AI models.
• Hardening the Infrastructure: Implementing guardrails and securing data services to ensure reliable AI for the enterprise.

• Using data lakes as centralized repositories for structured and unstructured data – what are the advantages and disadvantages ? 
• Integrating streaming data analytics for real-time decision-making 
• Data frameworks to ensure compliance and privacy: How to govern, structure and scale 

Moderator:

• Exploring high-value vertical markets:where is 5GSA working?
• Examining use cases in B2B – Scaling IoT: what markets and applications?
• Where are the consumer-centric use cases, pricing and services
• The role of APIs and network exposure
• Scaling IoT: what markets and applications

Moderator:

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

• Decoding the AI value chain: where does telecoms sit now and in the future? 
• Integrating AI across high value business functions with cross functional teams for scalability 
• Building scalable, real-time AI with data products and industrialized data pipelines to power, operations and network optimization 
• Unlocking ROI: LLMs, Predictive, Generative or Agentic? 

Moderator:

• Reshaping the cloud with AI: What AI where?
• How to utilise hybrid AI & agentic agentsin the cloud – what are the core components of AI driven cloud architectures?
• What AI/ML models should be deployed? Hyper-personalisation, DevOps, AIOps
• The road ahead: What’s next?

Moderator:

This session offers exclusive insight into the findings of the industry survey assessing the degree of adoption & the level of impact of AI in telco operations today.

• What does automation look like and how can Agentic AI help achieve it?
• How autonomous cloud agents interact, make decisions, and enable closed-loop systems for better network performance and efficiency
• Insights into how telcos, vendors, and hyperscalers are working together to integrate Agentic AI into cloud automation
• Addressing the technical, operational, and ethical considerations of deploying Agentic AI in the cloud

Moderator:

• Leveraging advanced analytics and real-time information to accurately predict customer demand and optimize the network
• Powering agentic AI and automation with trusted, customer-centric data across the RAN and core
• Unlocking cost-effective user plane visibility to elevate customer experience and strengthen support
• Scaling operations with agentic AI to connects network teams with customer-focused functions
• Using agentic AI to scale and future proof the network: what role can it play?

Moderator:

• What role will AI play in reshaping the link between network performance and customer experience
• How do you see independent AI partners ensuring consistent RAN performance as networks scale?
• What challenges exist in turning network data into real customer improvements?
• How important is a zero-touch network, and what’s needed to achieve it at scale to deliver consistent network experience?

• What are the new capabilities of AI agents and what does it mean for telco CX
• Developing a human-centric approach to harness the power of AI fents in customer care
• AI agents in action: assessing gains in productivity, efficiency and innovation
• How the industry can harness the power of AI to upskill sellers, better engage customers and boost go-to-market performance

Moderator:

• Use cases: monetisation, success and challenges
• Onboarding and partnering with developers to drive monetisation and service creation
• How to scale APIs with AI
• Overcoming operational, regulatory and privacy challenges to capitalise on ecosystem potential

Moderator:

• Shared service centre to operate the NOC & the field
• Moving to cloud – Orange Telco Cloud
• Network integration factory – DevOps, NOCs
• Role of automation: intent driven network, on-demand & elastic
• Results to date and next steps

• Finding the right partners to foster innovation to deliver new network services
• Are partner ecosystems a silver bullet for telcos?
• How to find the right partner in open innovation partner selection process?
• Network exposure use cases

Moderator:

• What does full automation look like in the context of AN and how AI help achieve it?
• Insights into how telcos, vendors, and hyperscalers are working together to integrate AI into network automation.
• What are the technical, operational and security challenges of deploying AI in telecom networksacross complex ecosystems
• Best practice ecosystems: what is woring with what levels of success

Moderator:

One cloud-native & fully automated core network for fixed and mobile:

• The Game-Changer: DT’s Horizontal TelCo Cloud the industry blueprint for successful, scalable and future-proof telco clouds.
• Why does this matter to all operators? DT’s journey offers a clear, proven roadmap to a cloud-native future, powered by the transformative capabilities of automation and AI.

Moderator:

• Addressing key barriers to automation adoption in transport networks
• Using network automation for traffic and service resilience
• Examining the need to reinvent automation to become more intent driven
• Overcoming legacy challenges and operational complexity

Moderator:

• Telco cybersecurity in the age of AIand open networks: What should it look like?
• Reacting to a rapidly changing threat landscape and rethinking cybersecurity architecture as a response
• Moving away from traditional, perimeter-based defences to a more proactive and dynamic approach Making the shift to Zero Trust and mission-focused design

Moderator:

• How to strengthen resilience and security in multi-vendor cloud-native network environments – enabling innovation without compromising performance or trust.
• Integrating AI-driven threat detection, continuous monitoring, and automated incident response across network domains
• Best practices to deliver a robust, secure, and interoperable open network

• Leveraging NTN services for the enterprise market
• Driving adoption in the B2B markets – how big is the revenue opportunity?
• Which use cases will come first?
• How can operators meet coverage obligations while balancing costs?