Strong data quality checks reduce bias, drift and inconsistencies that can distort analytics and AI outcomes before datasets ...

The artificial intelligence-powered data quality startup Soda Data NV said today it has closed on a new $14 million funding round, despite claiming it has already achieved financial self-sufficiency ...

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data observability company, today announced Data Reliability Dashboard, a new functionality to help customers better understand and communicate the ...

Big-data observability startup Monte Carlo Data Inc. is the latest technology company to jump on the agentic artificial intelligence craze, launching a suite of Observability Agents designed to ...

Sifflet, the AI-native data observability platform, has raised $18M in funding as a result of its strong momentum. Enterprises across Europe and North America are turning to Sifflet to tackle data ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

A federal watchdog flagged this week that nearly three dozen federal agencies did not consistently certify their procurement data as required, raising concerns about oversight of federal contract ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Ensuring Data Quality and Reliability in Streaming Applications One of Nainani's notable achievements is her development of two patents that ensure data quality in streaming applications. The first ...

In the current technological landscape, the roar of Generative AI and autonomous "agentic" systems often overshadows the foundational infrastructure necessary for their success. Yet, as enterprises ...