Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Predictive modeling technology is capable of sifting through massive data sets and uncovering the patterns and trends that correlate the target data elements to some outcome(s) of interest. Paul ...

As marketers race to adopt AI, new results underscore the critical role of a strong data foundation in driving real business outcomes ...

Overview:  Predictive analytics is about action, not just forecasts. The best platforms explain trends and guide what to do ...

CAR T-cell therapy has revolutionized cancer treatment for B cell and plasma cell malignancies, turning patients’ own immune cells into cancer-fighting superheroes—but even superheroes can cause ...

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

As 2020 dawns, data modeling has advanced to reflect the dynamic, fluid forms of data everywhere. It encompasses versatile methods to adapt to modern demands of variegated schema, real-time streaming ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...