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 ...

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 ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

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.

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

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

Prediction analytics changes sports betting from guessing to strategizing. An activity that was solely based on the bettor's ...