The Data Roundtable
A community of data management experts
Reference data and data governance
David Loshin suggests that reference data could be the foundation of future governance structures.
How data quality improves artificial intelligence – Part 2
Jim Harris shares three more examples of how data quality improves AI in Part 2 of his series.
Data governance implications of increased data privacy regulations: Information risk
David Loshin reminds us that data protection compliance applies to different individuals in different contexts – and not just GDPR and CCPA.
Which data sources will organizations use to make AI as effective as possible?
Phil Simon weighs in on using data to make the most of AI.
How to improve data accuracy
Phil Simon says that the downsides of even a few discrepancies can be enormous.
How data quality improves artificial intelligence
Jim Harris shares examples of how and why AI applications are dependent on high-quality data.