Nearly every major privacy law requires “data quality,” but it’s become the most forgotten of all of the internationally recognized privacy principles. Why? Three reasons: The laws provide few details ...

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.

Reduce risks of data breaches and make better decisions using more accurate information by introducing data minimization procedures into your business.

In this episode of Need to Know, our series covering the topics and issues influencing markets and the global conversation, Michael Beal, Co-Head of Enterprise Data Science at Bloomberg, discusses the ...

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

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 ...

AUSTIN, Texas--(BUSINESS WIRE)--SolarWinds (NYSE:SWI), a leading provider of simple, powerful, secure observability and IT management software, today released the findings from its 2024 IT Trends ...

BENGALURU, July 25 (Reuters) - Risks to the quality of official U.S. economic data - long seen as the gold standard - are worrying 89 of 100 top policy experts polled by Reuters, with most also ...