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 ...
This report is part of the research project ‘From co-generated data to generative AI’ and sets out the work completed between ...
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 ...
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 ...
The rapid pace of AI in general, and generative AI (GenAI) in particular, has put an extraordinarily powerful new tool in our hands while we’re still learning how and where to use it. We’ve been ...
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 ...