This report is part of the research project ‘From co-generated data to generative AI’ and sets out the work completed between ...
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 ...
Automated workflows from these providers enhance the early stages of the data lifecycle, ensuring that data entering EDM platforms is compliant and timely. This automation reduces manual intervention, ...
Is your data governance strategy keeping up with today's challenges? From increasing data volumes to evolving security ...
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 ...
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 ...
Researchers from Beijing Jiaotong University and Sun Yat-sen University unveil "TriGuard," an innovative governance mechanism ...
Responsible AI governance should be a foundational construct of any insurance carrier'sAI strategy and needs to be considered ...
By adopting comprehensive governance frameworks and actively engaging in oversight, boards can successfully and safely ...