Strategic Data Governance in the Age of Artificial Intelligence
Event Concluded
Schedule And Agenda
Watch the on-demand session and review the migration topics covered by the speakers.
Welcome and governance context
Frame why governance, data quality, privacy, and AI readiness now need to move together.
Master data compliance and DPDP readiness
Review compliance priorities, privacy-by-design principles, and the role of trusted master data.
Crafting a data strategy for AI
Explore how lineage, stewardship, cataloging, and controls support responsible AI adoption.
Future-proofing business transformation
Discuss how governance foundations enable digital transformation and scalable analytics.
Networking and action planning
Identify next steps for building an enterprise governance roadmap.
Accelerate corporate compliance and catalog search speeds
Traditional data governance initiatives fail because they take years to show value. Artha accelerator frameworks with Talend metadata harvesting APIs help teams connect critical databases, tag sensitive fields, and map lineage faster.
Key Takeaways
Understand how data governance supports AI readiness, privacy, and ethical compliance.
Learn why master data controls and DPDP-aware practices matter for enterprise transformation.
Identify governance capabilities needed for trusted AI and analytics programs.
Build a practical roadmap for future-proofing data strategy.
