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

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

When AI delivers bad answers, it’s reflecting your messy data. Here’s how to build a disciplined data foundation that drives ...

Incubated for DoD & Intelligence use cases, startup announces commercial availability of enterprise AI platform, delivering the fastest path to secure production AI ...

Emerging AI-powered data discovery and semantic search tools promise to cut through the fragmentation, helping CX teams turn ...

AI-driven trade analytics promise unprecedented foresight. But bias, bad data and black-box models mean leaders can’t afford ...

Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and ...

The Asian Development Bank and its partners piloted the Poverty Impact and Vulnerability Evaluation (PIVE) tool in the ...

Election Commission data reveals Bhabanipur's voter deletions are nearly four times higher than Nandigram, highlighting ...

Buddy Punch reports that tool sprawl is common, with 52% of organizations using too many apps, leading to lost hours and ...

Ultimately, this is about ensuring that IT can see and manage the data produced by systems they didn’t necessarily select or deploy. This requires vendor-agnostic data management tools that can ...

In 2025, Behavox introduced a major GPU upgrade to its AI Risk Policies (AIRPs), cutting alert volumes by over 60% in comparison to AIRPs that ran on CPU. This reduction in alert volumes also comes ...