Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

Metadata management is reshaping how enterprises scale AI, shifting focus from raw storage growth to visibility, efficiency and control.

About 90% of business data is unstructured and often siloed across systems, according to a Box - sponsored IDC white paper.

Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of ...

Ensuring data quality is a big part of regulatory compliance. Its importance cannot be understated. Poor data quality costs the typical company at least 10% of revenue, and 20% is probably a better ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

The AI revolution shows no signs of slowing down, transforming industries at an unprecedented pace. The fuel powering this change is high-quality, well-managed data. As companies adopt AI, the demand ...

CEO and Co-Founder of one of the first data intelligence platforms, BigID, and a privacy, security, and identity expert. Over the past five years, metadata management and data governance have grown in ...

Enterprises can turn copilot demos into production tools by investing in clean data, unified access, and ongoing evaluation.