Organisations gaining an advantage today have data foundations trustworthy enough to point autonomous agents at – and still sleep well at night. Research suggests that 80-90% of AI projects fail on the data, not the model. The result is a false choice: Move fast and accept unmanaged risk, or move slowly and lose ground – while confidence races ahead of capability.
This panel unpacks how successful organisations treat trust as an operating competency, not a policy document – moving from sequentially then continuously to understand their entire data estate; secure data, identities and AI systems; recover with surgical precision when agents get it wrong; and unleash AI with entitlement-aware access, runtime guardrails and provable lineage.
Hear from David Allott, APJ Field CISO at Veeam, and Jacqueline Teo, Chief Information Officer, as they discuss the practicalities of building a trusted data and AI posture, with controls that make "yes" a safe answer and metrics that satisfy a board.