A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

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

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 ...

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

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 you which 9,990 to ignore.

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 ...

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 ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

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

Subsurface reservoir engineering has become increasingly pivotal as the world intensifies its focus on sustainable energy systems and effective resource ...