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 ...

While the datasets are useful tools for training AI models, they do come with their own risks, from regulatory risks to ...

Organizations addressing data quality issues as a strategic operation are positioned to adapt to latest trends and scale their businesses ...

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 ...

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 ...

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

This content has been created by the Finextra editorial team with inputs from subject matter experts at the funding sponsor. Joining the FinextraTV virtual studio, Andrew Colombi, Co-Founder & CTO, ...

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 ...