As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even today, ...

The DATA Act transformed the way federal agencies collect and report their spending information, changing culture around ...

The new State of Marketing Data 2025 report focusing on the challenges and opportunities defining the future of marketing ...

Learn more about how Microsoft Sentinel data lake accelerates AI adoption, empowering teams to detect and respond faster ...

Jerome Powell raised concerns over economic data quality affecting Fed policy. Budget cuts and staffing shortages at the Bureau of Labor Statistics could affect data accuracy.

Pure Storage is pivoting from storage vendor to enterprise data trust broker, positioning itself as the validation layer that determines which data is clean, governed, and ready for AI consumption.

According to CSA, the amendments include several notable updates: enhanced data accuracy and consistency through validation and verification measures, greater harmonization within the CSA such as the ...

The workflow continues with RTT chart checks, electronic portal imaging (EPI)/cone-beam CT (CBCT) procedures, and approval of EPI/CBCT. The next step in the process is the Radiotherapy Chart Quality ...

Unstructured data, shadow AI and unclear government regulations are still major hurdles for organizations trying to safely adopt AI, according to BigID’s 2025 AI Risk & Readiness in the ...

In the early days of President Donald Trump’s second term in office, federal websites went dark and data disappeared as the newly formed Department of Government Efficiency set its sights on ...

Some economists are beginning to question the accuracy of recent U.S. inflation data after the federal government said staffing shortages hampered its ability to conduct a massive monthly survey.

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing unstructured data quality issues, identifying and assessing the data to be used ...