Finance data has evolved from a back-office necessity into a strategic asset powering agility, compliance, and AI-driven transformation. Fragmented data ownership, reactive maintenance, and disconnected processes are not just inefficiencies- they are structural barriers to AI at scale.

This session takes a bold stance: AI transformation in Finance will fail without the fusion of Data Governance and End-to-End (E2E) Process Management.

It demonstrates how organizations can shift from reactive fixes to proactive, process-embedded data governance, ensuring data quality, consistency and sustainability across finance operations.

Key takeaways:

• Move beyond "governance frameworks" and operationalize ownership across E2E processes

• Overcome the hidden failure points in MDM and data governance transformation

• Practical approaches to embedding GenAI into finance processes and data domains

• Redefine GBS as a data-driven, intelligence-enabled organization, not just a cost center