As organisations accelerate AI adoption and scale data products globally, data privacy and regulatory pressure are moving from a compliance exercise to a core part of how these systems are designed and operated. What works in one market may not be viable in another, and decisions made centrally must still be implemented in a way that meets local legal and regulatory requirements. Orsolya Salla shares how large organisations are navigating this complexity, working across business, HR, legal, and data teams to enable AI-driven use cases while managing risk. With evolving frameworks such as GDPR and the EU AI Act, the challenge is no longer whether to act, but how to balance innovation with accountability in environments where the consequences of getting it wrong are significant.
• Aligning global data and AI initiatives with local privacy, regulatory, and compliance requirements
• Embedding privacy, legal, and governance considerations into data product and AI development from the outset
• Managing risk, accountability, and communication as AI use cases expand across the organisation