Making Data Governance and Data Quality a Shared Responsibility in Federated R&D Organisations
Exploring how federated organisations can drive accountability for data quality, align standards across teams, and build trusted data foundations for future AI and business needs.
Governing Critical Data Elements: Best Practice for Mature Regulated Organisations in the US
How are leading US financial institutions identifying and governing critical data elements while balancing risk, ownership, and operational efficiency?
Exploring how organisations are building, scaling and measuring successful data communities of practice to drive engagement, enablement and shared best practice.
From Curated Datasets to Data Products that Drive Value
This session focuses on realities of moving curated datasets to well-defined data and information products services that deliver measurable results in federated organisations.
Establishing a Unified Data Sharing Policy and Ownership Framework
How regulated organisations establish clear ownership, governance, and coordinated approval processes for responsible, scalable data sharing across complex international environments.
Delivering Responsible AI at Speed and Scale in Large, Complex Organisations
How can large, complex organisations scale AI responsibly while balancing governance, collaboration, and innovation to deliver safe, high-value outcomes?
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