Leaders Roundtable: AI, Data & Control: Building for Hong Kong’s Connected Economy

Hong Kong’s connected economy gives organisations access to diverse markets, technologies, and data flows. As AI becomes embedded in business operations, this raises practical questions around where data resides, how applications connect across environments, and how identity, access, and security are managed.

For technology and business leaders, this is bringing digital sovereignty into sharper focus: having the visibility and control to determine how data, applications, and AI systems operate, while retaining the flexibility to work across jurisdictions and technology environments.

Ecosystm research highlights three key AI deployment challenges for Hong Kong enterprises:

• 50% cite regulatory compliance as a barrier to AI adoption
• 49% struggle to embed AI into existing applications
• 46% are concerned about visibility & control over AI access to data & systems

This raises a practical question: what does an organisation actually need to control as data, applications, AI models, identities, and workloads span different environments and jurisdictions?

We invite you to join this exclusive, invitation-only roundtable with your peers to explore what digital sovereignty means in practice – from protecting sensitive data and securing AI access to modernising applications without creating rigid technology dependencies.

Key discussion themes:

• What needs to be controlled. Where should sovereignty sit across data, applications, AI models, identity, and security?
• AI & sensitive data. How can regulated organisations use AI while protecting data, managing access, and meeting regulatory requirements?
• Secure, connected environments. How can organisations secure AI and applications as users, data, and systems move across environments?
• Control without isolation. Where does local control matter most, without creating rigid architectures or limiting flexibility

Join us to hear how peers are navigating digital sovereignty and the technology choices shaping AI adoption in Hong Kong.