There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

As companies push employees to use Artificial Intelligence tools to boost efficiency, many organizations are encountering ...

Data is critical to every business, but when the volume of information and the complexity of pipelines grow, things are bound to break! According to a new survey of 200 data professionals working in ...

The data purgatory hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, and accessibility. Fast Company has put a spotlight on the make-or-break ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

Generative artificial intelligence (AI) is expected to see accelerated adoption in the next two years, with an overwhelming majority (97%) of organizations planning to invest in the technology. These ...

New details from the Bureau of Labor Statistics (BLS) reductions reveal a concerning decline in the quality and integrity of U.S. economic statistics. Cutbacks in Consumer Price Index (CPI) data ...

AI investments are being built on flawed data as business leaders struggle to make quality a priority. 81% of AI professionals say their company still has significant data quality issues, yet 85% ...

A global survey by Dun & Bradstreet highlights rising cyber threats and data quality issues in financial services, impacting AI adoption and decision-making. Despite increased risk mitigation spending ...

Without quality control, even expensive, high-precision radiometers can generate misleading data, according to Solargis' ...