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.

As theCUBE Research has been tracking, the transformation of data management systems has been gradual yet profound. Over the past decade, organizations have increasingly recognized the value of ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group founder. When we talk about data management, we refer to a broad ...

Cloudera also debuts new AI assistant to help data scientists, data engineers and developers boost productivity and streamline data workflows. Data platform giant Cloudera has struck a deal to acquire ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data is differentiated and diverse. Sometimes we talk about ...

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 ...

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 is the key that unlocks the commercial potential of information, data, and intellectual or creative assets. Metadata matters, because when it comes to content, it’s everything you have.

Overview: Enterprises are depending on AI-powered data governance software to ensure data quality, security, and compliance ...

Why does metadata matter? Because we interact with it each and every day. And we need a solid asset-management foundation across our orgs. “Workflow is understanding your job, understanding your tools ...