Modern data analytics and AI infrastructure depend on one simple truth: useful data must move fast, stay available, and ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. I sometimes wonder whether people outside our field grasp ...

Recent work under the INTEND project and the paper " Intent-Based Data Operation in the Computing Continuum " points in the ...

Summary: Learn about the most pressing data collection challenges for litigators at AmLaw 200 firms along with practical steps and workflows to help you manage data in platforms such as Slack and ...

The Modern Data Report 2026 reveals that 68% of data practitioners say their data isn't reliable enough for AI, and 87% say better data (trusted, contextual, and easily accessible across teams) would ...

Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

The last few years have been a watershed for the modern data stack. Even as it’s being rapidly adopted by data teams, innovation within it continues to accelerate. From the data warehouse to the data ...

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 ...

To address the demands of today’s enterprises, data centers require next-generation network fabrics that leverages modern network management for more reliable and easier operations via network ...

PALO ALTO, Calif.--(BUSINESS WIRE)--The Modern Data Company, a leader in data management and the inventor of the world's first data operating system, DataOS®, today announced the appointment of ...

PALO ALTO, Calif.--(BUSINESS WIRE)--The Modern Data Company, a leader in data management and the inventor of the world's first data operating system, DataOS®, today announced the appointment of F.S.