Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

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 ...

Financial institutions face the challenge of moving vast amounts of money and information quickly and in line with ever-tightening regulations. Behind every payment, login, or account action lies a ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...