Add Yahoo as a preferred source to see more of our stories on Google. Trump fired the head of the Bureau of Labor Statistics after a disappointing jobs report he said was "RIGGED." While BLS faces ...

Finance leaders across APAC face growing compliance pressure as fragmented systems create data integrity risks in ...

Grassroots opposition to data centers is growing in communities across the U.S. as people blame the facilities for high ...

Healthcare data accounts for 30% of the world’s data, and that proportion will jump to 36% by next year. Yet healthcare leaders say just 57% of their data is used to make intelligent business ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

1. The "Data Trash" Problem: AI models are only as good as the information they ingest. For most enterprises today, data is ...

As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn't the hardware. It’s ...

Huge tech companies like Google and Amazon will spend $1 trillion to build AI data centers in the next two years. The problem ...

Over the last few years, the volume and variety of data that organizations have access to has exploded, with 64% of organizations managing at least one petabyte (which is 1 million gigabytes, or 1,000 ...

America is the gold standard for economic data — but that doesn't mean it's perfect. In fact, the Bureau of Labor Statistics was already facing problems before President Donald Trump fired ...