Jayeeta Bhattacharya

Data governance is often well understood in theory, but much harder to make work consistently across a large, complex organisation. In this session, Mondelēz International will share its journey from fragmented governance activity, unclear responsibilities and a complex technology landscape towards a more connected and practical approach to data governance. The discussion will explore how the organisation simplified its governance message, strengthened collaboration between data, architecture and business teams, clarified stakeholder roles, reduced technology complexity and introduced common standards and frameworks. It will also look at how the value of data governance was communicated to leadership by connecting it to business outcomes, trusted data, data products and AI readiness. Together with Billigence, Mondelēz International will reflect on what worked, what changed along the way and the lessons learned from turning data governance from a specialist initiative into a shared organisational capability.

The path to AI enablement runs through governance. High-quality data, model transparency, and ethical oversight aren’t barriers — they are accelerators. In this talk, we’ll connect the dots between Data Governance and AI Governance, show how unified governance, helps embed new requirements to existing processes, while fostering innovation. We will discuss actionable steps to build AI-ready organisations that innovate with proper guardrails.