To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

Cloud security and application monitoring giant Datadog Inc. said today it’s looking to expand the scope of its data observability offerings after acquiring a startup called Metaplane. The financial ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Kore Integrate is the perfect platform to improve Data Quality Management, said Maxwell Dallinga in a recent blog post by Kore Tech. Data quality management is a process to ensure that data is ...

The UK’s leading mental health charity replaces legacy tools with a modern integration platform to improve data quality, governance, and delivery speed.

The U.S. Department of Health and Human Services is investing in a new artificial intelligence platform that it hopes will enhance operational applications and analytics in decision-making, while ...

The past two decades have seen astounding changes in how the health care industry handles the volume of data being captured and used for clinical care and research. Many changes have been enabled by ...

Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets. Industry leaders agree that data ...

On a recent executive outreach call, a leader from a large enterprise shared how their 120,000 users were actively involved in improving data quality across the organization. Intrigued, I reviewed ...

As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.