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 ...

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 ...

Inconsistent data quality, unclear data governance, and low data literacy are continuing to undermine AI readiness and enterprise decision-making heading into 2026, according to Info-Tech Research ...

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 ...

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 ...

Anomalo Inc. today launched a new tool that aims to help enterprises keep check on the unstructured information that’s becoming critical to the success of artificial intelligence systems. The ...

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 ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Sandesh Gawande, with 29+ years of experience in data and CEO of iceDQ: We engineer data reliability, because quality is never an accident. Organizations are investing heavily in AI and big data ...