In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms-driven largely by the explosive rise of GenAI and large language ...

LASIK offers an example of how ophthalmology is becoming data-driven, using advanced imaging to move beyond static ...

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the ...

Many personal transportation-related decisions—such as vehicle purchases—are influenced by life events, like the birth of a child or a change in employment. Modeling tools that reflect how life ...

MUDDI provides a harmonized, flexible data model that standardizes underground asset information across different ...

After a two-year search for flaws in AI infrastructure, two Wiz researchers advise security pros to worry less about prompt injection and more about bugs.

A novel modeling approach for self-healing concrete enhances predictive reliability, addressing early-stage variability and ...

Interview Kickstart today announced the release of its latest in-depth career guide, "How to Transition from Data Analyst to Data Scientist," a comprehensive roadmap designed to help working data ...

If executed at the scale, Musk's orbital data center plan could have devastating effects on the environment and the ...