Back in the 1990s, business intelligence (BI) initiatives often consisted of software tools applied to structured datasets (like corporate ERP) to enable more accurate analysis of past events as a ...

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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 ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Many databases are filled with information that’s carefully organized ...

From listening to any kind of survey of what people are talking about in AI right now, we know that privacy is important. And that’s an understatement. Time and time again, we hear people talking ...

As the nature and scale of enterprise data changes, secondary storage—especially archive—becomes a huge opportunity to add value to organizational data Perhaps the least understood component of ...

Governments, industries and individuals alike all report feeling overwhelmed by the rising tide of data. How big is the challenge? One research firm estimated that the volume of data/information ...

Dark data not only generates unnecessary costs, but also increases risks and the potential for losses. Here's what business ...