Just as machine learning, artificial intelligence, data modeling and analytics platforms have transformed manufacturing, drug discovery, health care and operations in a host of other industries, these ...

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

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 ...

Several years ago, Humana Inc. embarked on a multifaceted program to refocus its business more directly on the consumers of its health benefits plans—its corporate customers and their employees. The ...

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 ...

Predictive analytics, a branch of advanced analytics, helps forecast future outcomes using historical data, statistical modeling, and machine learning. In industries like vegetation management, it has ...

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

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