Data and AI are reshaping the enterprise at pace, demanding leaders to align strategy with business priorities and deliver measurable value. Building quality foundations routed in governance with robust architecture is essential to scale AI responsibly. Balancing that mammoth task with driving cultural adoption and winning executive sponsorship is where challenges arise.

For leaders in this space, taking a focused approach considering ethics, readiness and a path towards an agentic future beyond the AI hype cycle is necessary to cut through the noise. Join the conversation that will define the gold standard of data and AI leadership at The Science Museum on the 5th of March, as we host the 12th annual DataIQ 100 Discussion.