Trustworthy AI and Data: Building the foundations for autonomous decision-making

Sessions in rooms

Opening presentation: The AI assurance challenge 
As AI becomes embedded across customer, network and business operations, governance can no longer be an afterthought. This session will explore how leading CSPs are creating the frameworks, controls and accountability needed to deploy AI safely and at scale. 

• Learn how leading organisations are building governance, accountability and risk management into AI.
• Understand the foundations of trustworthy, explainable and auditable AI.
• Explore strategies for balancing innovation, compliance and human oversight.
• Prepare your organisation for the next wave of AI governance and regulatory requirements across Asia.

Case study: From data chaos to AI confidence 
Fragmented data remains one of the biggest barriers to AI success. Discover how leading operators are creating trusted, governed data foundations that enable AI-driven decision-making, automation and innovation across the enterprise. 

• Building AI-ready data products that can be reused across the organisation 
• Improving data quality, lineage and trust in AI outputs 
• Breaking down silos to support real-time decision-making 

Presentation: Sovereign AI in practice: Governing data, models and infrastructure across Asia
More details coming soon.  

Panel: The boardroom challenge: Governing AI as a material business risk 

• When does AI become a board-level responsibility? 
• How should operators define accountability for AI-driven decisions? 
• What evidence do leaders need before increasing levels of autonomy? 
• How should boards balance innovation, risk and regulatory compliance? 
• What governance models are emerging among leading CSPs? 

Additional sessions may include: 

• Keeping AI in check: Monitoring, auditability and control at scale  
• Running AI you can control: Sovereign AI for networks, data and decisions

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