A new era of autonomous data management has begun with the emergence of Agentic AI, the systems that can observe, learn and ...

Just about every business today is a data company. Whether using data to manage day-to-day operations, analyzing data for planning purposes and gaining competitive advantage, or even providing data as ...

Database Management System (DBMS) software acts as an interface between an end user and a database and is designed to allow users to create databases as well as store, manipulate and manage data in an ...

As organizations increasingly rely on digital infrastructure to manage sensitive information, understanding how DSPM integrates with broader risk management and compliance strategies becomes essential ...

From AWS, Google and Oracle to Databricks, IBM and Snowflake, here are the top 16 vendors leading the cloud database management systems market, according to Gartner’s new Magic Quadrant. Gartner’s Top ...

Data agnostic failures. "Data agnostic" platforms often fail to integrate complex systems and leave teams with inaccurate data and time-consuming workarounds. Essential data attributes. A complete, ...

In mass tort litigation, selecting the right data management platform is a critical decision. It ensures efficiency and accuracy in handling and analyzing vast amounts of data – sometimes millions of ...

Global players union FIFPRO and its 66 member unions have agreed to develop a data management system that will give individual players the ability to store and control their own performance data ...

Most states have opted to pay for alternative systems or use paper recording methods rather than use the CDC’s new $44 million COVID-19 vaccine data management system, according to a Jan. 30 MIT ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...