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 ...

Guest post by Warren Strauss, director of the Advanced Analytics and Health Research Resource Group at Battelle, a private nonprofit applied science and technology development company From required ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

A new study commissioned by Trifacta is shining the light on the costs of poor data quality, particularly for organizations implementing AI initiatives. The study found that dirty and disorganized ...

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality: Multiple data sources: ...

Citigroup is adding a second pair of hands to oversee improvements to the company's data quality management processes, which have been called out by regulators for being inadequate. Tim Ryan, who ...

It is undeniable that artificial intelligence (AI) has permeated every aspect of our lives in a modern, digital world − from entertainment and manufacturing, to security and even healthcare. The AI ...

The Perfect Depression Care initiative serves as an example of how suicide prevention programs can collect real-time mortality data internally to drive rapid quality improvement. Perfect Depression ...

As organizations look to adopt the new wave of coming technologies, like automation, artificial intelligence and the Internet of Things, their success in doing so and their ability to differentiate ...

Quality improvement (QI) in health care is an activity in which intentional change in processes and systems of care is attempted in a methodical, reflective and iterative manner in order to improve ...