For brands looking to implement predictive consumer intelligence into their marketing strategies for the holidays, there are ...

Today, the integration of predictive, patient-level data presents a defining opportunity to elevate population health management. By shifting focus toward individualized risk assessments, healthcare ...

BI tools only work with clean, reliable data. Leaders can start by assigning ownership, setting clear standards and running regular checks. Focusing first on critical data sources and building ...

Advantages and shortcomings of predictive analytics, and how the practice is changing in order to keep up with the evolution of technology. The term predictive analytics refers to the use of data, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More San Francisco-based Sisu Data, a company empowering enterprises with ...

DENVER--(BUSINESS WIRE)--Wiland, Inc., a leading marketing data and predictive audience solutions provider, announced the unveiling of MarketSignals™—its flagship data product. Introducing ...

Data analysis is helping operators in the solar power sector develop more efficient systems that optimize operations and deliver cost savings. Utilities and other developers of solar power ...

The use of analytic tools to predict student performance is exploding in higher education, and experts say the tools show even more promise for K-12 schools, in everything from teacher placement to ...

Predictive marketing analytics - which utilizes historical data and advanced algorithms to predict future outcomes - has become an essential asset for modern marketers in an increasingly competitive ...

AI-enabled predictive maintenance systems are critical for achieving the speed, autonomy, and adaptability that smart ...

The U.S. Border Patrol is using a predictive intelligence program to monitor millions of drivers across the country to ...