CIO Executive Summit 2026
Piloting AI is just the beginning - true transformation happens when AI scales across the business, securely. However scaling AI presents a myriad of challenges. Technically, issues such as data inconsistencies, inadequate infrastructure, integration complexities with existing systems and Cyber Security can pose significant challenges. Organizationally, resistance to change, skills gaps, and misalignment between AI goals and business objectives can impede widespread adoption. As CIOs and CISOs look to expand their Businesses’ AI capabilities securely, understanding the potential challenges is crucial for successful implementation.
Join our session titled, "The AI Data Layer: From Pilot to Production — Why Active Context Is the Missing Piece for Enterprise AI," to see how Enterprises across Asia-Pacific are investing heavily in AI — yet most initiatives stall at the pilot stage. The bottleneck is not the model. It is the data.
In this session, Bill He, Head of Greater China at Denodo, will reveal why the world's leading enterprises are building an "AI Data Layer" to solve the data crisis that blocks AI from scaling. He will introduce Active Context — a live, governed, semantically coherent data foundation powered by Data Virtualization and a unified Business Ontology — that connects AI agents, business users, and data teams to every enterprise data source in real time, without moving or copying data. Drawing from real-world deployments across global enterprises and government organisations, Bill will share a practical framework for evaluating AI data readiness and accelerating time-to-value.
