From genai to agentic AI: Scaling intelligent operations

Sessions in rooms

Presentation: From single agents to agent ecosystems: The future operating model for AI 
From customer operations and network management to enterprise workflows, CSPs are beginning to move beyond individual AI agents towards interconnected agent ecosystems. This session examines how multi-agent systems are reshaping decision-making, and execution across the business, and what new operating models will be required to manage AI at scale. 

• Moving from isolated AI use cases to interconnected agent ecosystems 
• How agents collaborate across customer, network and business domains 
• New operating models for supervising, coordinating and governing digital workforces 
• The next evolution of autonomy across telecom operations 

Presentation: AgentOps: Running autonomous AI systems at enterprise scale 
As AI agents move into production, operators face a new challenge: how to run, govern and continuously optimise autonomous systems at scale. This session explores the emerging discipline of AgentOps, including the operational frameworks, observability capabilities and governance models required to ensure agents remain reliable and secure.

Panel: What will separate successful AgentOps leaders from failed AI deployments?  
Agentic AI promises a step change in automation, but many operators are still working out how and where to deploy it. This panel explores the practical realities of scaling autonomous AI and what needs to happen before it becomes business as usual. 

• Where Agentic AI is delivering value today 
• What is preventing broader deployment across CSPs? 
• How much autonomy are operators willing to trust? 
• What will separate leaders from followers over the next three years? 

Additional session may include:

• Who manages the agents? Orchestrating AI at scale  
• AgentsOps: Running AI agents in production 

Please note: All topics and timings are provisional and may be subject to change.