Data can change the world, but our data leaders – the people who help spearhead this change – often struggle to do their jobs well. Moving past big data buzzwords, the challenges they face and what ...

In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.

From planning to trailblazing, discover the world of data management in this guide. Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most ...

Data are the alpha and omega of scientific and social research. A versatile good, they exist both as raw material for producing knowledge and, when processed and interpreted with an expert eye, the ...

Much has been written about the importance of funding and developing digital data repositories, data classification tools such as computational ontologies, and software that would enable the efficient ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

Redefining data management for AI with scalable, high-performance solutions that optimize compute resources and accelerate AI workflows. Learn more today. All industries and modern applications are ...

Data governance defines the policies data management acts on. Learn more about data governance and data management and how they work together to develop business insights. Image: Gorodenkoff/Adobe ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

More than 400 million terabytes of digital data are generated every day, including data created, captured, copied and consumed worldwide. By 2028 the total amount of global digital data is forecast to ...