For brands, the goal is balance. Personalization still matters, but it must be supported by transparency and responsible data ...

Being data-driven isn't about having the best tools — it's about leaders acting on the right signals quickly and consistently ...

As they gain data maturity, state and local agencies are increasingly putting their information to work. In Washington, D.C., a real-time information dashboard helps first responders manage blood used ...

Stronger data practices can help leaders better utilize data as a way to deeply understand the students they serve. “Data-based decisionmaking.” “Data-driven instruction.” These are now-familiar terms ...

In 2019, UnitedHealthcare’s health-services arm, Optum, rolled out a machine learning algorithm to 50 healthcare organizations. With the aid of the software, doctors and nurses were able to monitor ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, ...

As the gaming industry becomes more data-driven, it can exemplify how web intelligence helps improve business performance and ...