In the end, more thorough data models produced by diverse viewpoints result in better business decisions and outcomes.

Artificial intelligence (AI) is transforming how companies across industry sectors and geographies govern data. This means that updating data governance frameworks to reflect AI integration is ...

The National Institute of Standards and Technology (NIST) has been a leading voice in cybersecurity standards since 2013, when President ...

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 ...

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, ...

Responsible AI governance should be a foundational construct of any insurance carrier'sAI strategy and needs to be considered ...