Keynote 1: Scaling AI Adoption- With Robust Data Activation Every enterprise is racing to deploy AI — yet most are stalling at the same bottleneck: not the model, but the data. Model selection has become a commodity; the real competitive differentiator is whether your data is integrated, harmonised, and ready to serve AI agents when they need it. This session makes the case for data activation and governance as the twin enablers of enterprise AI at scale — where activation moves data out of fragmented silos into a unified layer that feeds every AI initiative, and governance ensures that data is clean, trusted, and auditable through master data management, data quality disciplines, and centralised agent oversight. Without both working in concert, AI adoption remains fragile and impossible to scale — but when they do, the same governed, activated data that fuels your AI agents also closes the loop on business intelligence, driving better decisions across the entire organisation. What you will gain: ● Why data, not the model, is your AI ceiling: Model selection has become a commodity. The real differentiator is whether your data is integrated, harmonised, and ready to serve AI agents the moment they need it. ● Data activation as a business strategy: How to move beyond siloed data stores toward a unified, activated data layer that feeds every AI initiative across the enterprise. ● Governance as the trust layer for agentic AI- Why ungoverned AI is unscalable AI — and how master data management, data quality controls, and centralised agent oversight create the guardrails that make enterprise AI safe to deploy at scale. ● Governing agents — visibility, policy, and control- As AI agents multiply across the enterprise, governance must extend beyond data quality to cover agent behaviour: who can act on what data, within what boundaries, and with what level of human oversight. ● From AI to BI — closing the loop on data value- How governed data movement creates a continuous value loop — where the same activated data that powers AI agents also drives better business intelligence, reporting, and decision-making across the organisation.