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

The BFSI industry is a highly regulated sector wherein companies need strong data controls to comply with stringent standards ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...

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

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

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

The integration between WTW Radar and Databricks enables Radar to access data by selecting Databricks as a data source and to retrieve data straight from the Databricks Data Intelligence Platform in a ...

Krishnam Raju Narsepalle highlights the evolution of enterprise data systems, focusing on reliability, auditability, and long ...

Ever since, skin bones have remained a recurring motif in evolution. Yet we still know surprisingly little about them. Why do ...

Researchers have discovered fossil remains in Morocco that may represent one of the earliest stages of the human lineage, dating back 773,000 years ago. The findings, published today in the Nature ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...