A bite of clarity: the role of metadata(quality) in business & AI

Data quality is a high-stakes pursuit. With investment and rigor come great returns, without it, you’re likely to be burning cash. Data quality is a multi-faceted discipline that can seem daunting on the surface, but with basic fundamentals and proper planning, can be the driver of ultimate success for your data team and larger organization. In this session, dive into the fundamentals of data quality, including the significance of metadata, defining policies and standards, and the importance of quality controls to monitor and validate data.