When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

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 ...

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 ...

Last year, researchers looked at the directories of the nation’s five largest health plans and found that four out of five entries were inaccurate. This is more than a minor inconvenience. It’s a ...

Data, the potent fuel powering the AI-driven enterprise, is always on the move, as are the tools, technologies, and techniques being employed to manage and deliver it. With the intense emphasis on AI ...

Economists on Thursday warned that a big drop in November inflation had more to do with data challenges caused by the government shutdown than with actual changes in the economy. Unfortunately, those ...

We've all heard the explanations for why AI projects fail: the models aren't advanced enough, they don't remember past interactions, they hallucinate answers — the list goes on. However, those ...

A cloud-based digital evidence-sharing system for police in Scotland is being piloted, despite major data protection concerns raised by watchdogs about how the use of Microsoft Azure could be putting ...