Data quality and the metrics used to measure performance are among the biggest challenges facing the pensions industry as it moves towards a new value for money framework designed to make it easier ...

An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...

In my years managing business intelligence projects, the limitations of traditional reporting have become abundantly clear. Early in my career, senior leaders would often wait weeks for static reports ...

Achieving business success today increasingly depends on getting the right information at the right time — so people can make decisions at the speed of business and intelligent agents can take the ...

As the White House pursues a national artificial intelligence framework, agencies should prepare by strengthening data governance, cybersecurity and risk management.

To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

Forbes contributors publish independent expert analyses and insights. The path to enterprise AI maturity runs directly through data. However, constructing AI-ready data platforms is more than just a ...