Data quality testing platform Soda Data NV today announced the launch of SodaGPT, a data management platform that uses generative artificial intelligence to help users define data quality expectations ...

Data quality management efforts — tied to disrupting innovations, rapid market shifts and regulation pressures — will continue to grow in 2023 and take on a more dominant role in the data management ...

As AI reshapes business, traditional data storage is no longer enough. Enterprises must adopt lifecycle management to secure, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As data sources and volumes grow exponentially year by year, we are seeing an increasing ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

Marketing AI is only as strong as the data it runs on. Move from chaos to optimized data maturity and deliver personalization at scale. The post A practical framework to turn fragmented data into a ...

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality: Multiple data sources: ...

Data is increasingly valued as an asset for companies, so ensuring that data is of high quality is imperative. Progressively, in the world of IoT, we are seeing machines make decisions. These ...

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit ...

Strong data management practises include enforcing data quality standards, securing data access, tracking lineage, and enabling ongoing validation. These steps help organisations avoid the downstream ...