Every company wants to make breakthroughs with AI. But if your data is bad, your AI initiatives are doomed from the start.

One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...

The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...

The use of predictive modeling paired with cluster analytics on patient-reported data has the power to pinpoint populations that may need specialty services prior to care delivery, according to a new ...

Peter Guerra, Global Vice President of Data and AI at Oracle, discussed prioritizing data governance, integrity and accessibility in federal systems. He highlighted the race to modernize federal data ...

"We've already run out of data," Neema Raphael, Goldman Sachs' chief data officer and head of data engineering, said on the ...

The Population Health Care Delivery Model presents delivery systems with a framework for developing, piloting, and implementing population health programs across the continuum of care. Objectives: ...