The strength and agility of an organization's data strategy determine the success of an AI initiative just as much as advanced models and advanced algorithms do. AI agents and generative AI systems ...

Creating an effective data management strategy isn't easy, and there are lots of ways companies go wrong. That was one of the takeaways at the panel "Digital Enterprise: Leveraging Data to Improve ...

Since 2018, privacy laws such as the GDPR have reshaped the digital landscape, mandating transparent data usage and minimal storage. These laws, while crucial, often lack explicit guidance on data ...

Computers have been around for more than 100 years: From the introduction of tabulation machines by the company that became IBM, followed by minicomputers from companies like Digital Equipment ...

Research institutions face growing challenges managing large and complex datasets: Data volumes are increasing in size, variety, and velocity, while traditional, ad hoc data management practices lead ...

In today’s data-driven landscape, organizations are increasingly recognizing the critical importance of robust data ...

Despite cloud’s growing dominance, the ongoing artificial intelligence boom is giving rise to hybrid data management. Cloudera Inc. looks to capitalize on this trend by bringing data to customers ...

Imagine you are looking for a Caribbean vacation. There is a luxury resort brand you love, and you want to compare availability, prices, and amenities across locations. You could do your research ...

Companies need to invest in energy-efficient infrastructure and optimize data practices, says Ian Clatworthy, director of data platform product marketing at Hitachi Vantara. In partnership withHitachi ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article is part of a VB special issue. Read the full series here: ...

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, ...