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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. Just like 2023, 2024 was a dynamic year for enterprise data ...

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 ...

Data management includes collecting, protecting, organizing, and storing organization data, allowing it to be analyzed to create informed business decisions. Unfortunately, as more data is collected, ...

Learn CRM data management best practices for cleaner customer and revenue data, including validation, enrichment, ...

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 ...

Master data management (MDM) has always been important and quite frankly, we’re all sick of hearing about it after three decades. For this and other reasons, some enterprises are unable to get their ...

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 ...

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 ...