NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced that it has opened its predictive analytics ...

AI and data science tools are starting to disrupt the traditionally slow-to-change clinical trial sector, aiming to improve efficiency and reduce high failure rates in drug development. Innovations ...

Artificial intelligence (AI) tools are revolutionizing the way entire industries operate. The potential scope of AI is firmly in our public consciousness, whether through scare stories about the ...

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 ...

Rich Wagner is chief product officer and founder of Prevedere, a predictive analytics company that helps enterprises create accurate forecast models by incorporating the global economic leading ...

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 ...

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 ...

Making eligibility decisions based on trends seen in past cases, rather than explicit criteria, is a feasible approach to clinical trial recruitment that is both compatible with data structures found ...

TradeRev has announced the release of TradeRev 4.0, the most advanced version of its mobile app. The newly updated platform leverages data and predictive modeling to deploy new features including bid ...

Recent advances in hydrological science highlight the urgent need for robust and adaptive modeling approaches to support effective disaster management in ...

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 ...