This report is part of the research project ‘From co-generated data to generative AI’ and sets out the work completed between ...
Many countries are struggling. Each has different capacities for developing frameworks and for implementing and enforcing ...
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, ...
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 ...
In this digital world, with data and AI almost omnipresent, data protection is the most obvious and difficult challenge. A ...
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 ...
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 ...
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 ...