As hospitals and health systems accelerate artificial intelligence adoption, industry leaders warn that inaccurate patient ...

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, ...

Scores show outcomes, but they don’t reveal how a data system is built, tested and operated, or whether the data meets the ...

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 ...

Introduction Data quality in electronic health records (EHRs) is central to data-informed healthcare. Health professionals play a key role in ensuring data quality yet the complexities of clinical ...

Compare the best data cleaning software in 2026, including top tools for CRM hygiene, data enrichment, enterprise data quality, and cleanup workflows.

Data observability firm Monte Carlo Data Inc. is turning its attention to unstructured information, introducing a new capability that will allow enterprises to monitor the enormous volumes of text, ...

Israeli data engineering startup Upriver Data Ltd. today announced it has raised $14 million in new funding to automate the ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...

Minor data corruptions can be even more dangerous and costly than a data breach or attack because they often go undetected for long periods. Data corruption is usually caused by incorrect, outdated or ...

Survey work is a series of complex processes. At the outset, there is sample and questionnaire design, as well as field training. During the data collection stage, there is monitoring and remedial ...