Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? The purpose of this article is to provide a structured model for ...
Data governance is equally important for scaling up the use of AI while maintaining compliance with legal and ethical standards. Wide-scale deployment is a data privacy, regulatory compliance, and ...
This report is part of the research project ‘From co-generated data to generative AI’ and sets out the work completed between ...
Is your data governance strategy keeping up with today's challenges? From increasing data volumes to evolving security ...
Researchers from Beijing Jiaotong University and Sun Yat-sen University unveil "TriGuard," an innovative governance mechanism ...
By adopting comprehensive governance frameworks and actively engaging in oversight, boards can successfully and safely ...
Responsible AI governance should be a foundational construct of any insurance carrier'sAI strategy and needs to be considered ...
The Gartner Roadmap for Data and Analytics Governance compiles data governance best practices into a customizable roadmap to help you succeed in achieving your digital business objectives.
Key takeaways from these speaking sessions will include effective data governance models and approaches, disaster recovery planning, techniques for data prioritization and classification ...