AI tools and apps also rely heavily on unstructured data. For example, an e-commerce company that wants to automate and improve its customer support experience might use AI to sort through social ...

Often, enterprise data management falls into two strategies: offensive and defensive. While defense entails mitigating risk, being offensive unlocks new opportunities. Organizations must incorporate ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the intricate realm of contemporary business, the mastery of risk management hinges on ...

The average enterprise today is buried under a mountain of documents, photos, models, spreadsheets, slide decks and videos. A global energy firm with 50,000 employees spread across 48 different ...

It's not just big businesses that can benefit from good data management. Here are some ways you can manage your business data. Image: UX Indonesia/Unsplash Before implementing processes, solutions and ...

Data management remains a major issue for healthcare organizations as the amount of data generated and stored by them is growing rapidly, making it difficult to manage this information with accuracy ...

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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, ...