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

With staff now using AI agents to build their own apps, IT teams have more cybersecurity exposures to monitor and account for ...

For the chief data officer, the Software Bill of Materials (SBOM) has evolved. It is no longer a niche cybersecurity ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

The window for “wait and see” is closing. Companies must have a clear AI adoption road map for finance and audit in 2026.

Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most organizations struggle to translate widespread A.I. adoption into ...

As enterprises race to adopt generative and agentic AI, many assume their data foundations are already in place. In reality, ...

Discover the meaning of 'noetic'—its Greek roots in intellect and thought, its use in philosophy and psychology, and how it ...

Strong data engineering practices—supported by governance frameworks, quality controls, and ethical safeguards—are what ...

A new species of shrew, Soriculus dexingensis, is discovered in Tibet, raising the number of known shrew species there to six ...

North America held a dominan Market position, capturing more than a 45.6% share, holding USD 0.6 Billion revenue.

IT organizations have built processes for reducing vendor risk, but in the AI era, that operating model is being dismantled.