Erika Glenn, Division Head of Sales, Care Management, CVS Health, addressed some of the latest innovations in predictive modeling and data analytics being leveraged by her organization in the ...

LONDON--(BUSINESS WIRE)--Quantzig, a premier data analytics and advisory firm, proudly announces the launch of an advanced portfolio of outbreak analysis and predictive analytics solutions that help ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

Analytics is playing an increasingly important role in accurate risk stratification, for example, helping to predict which individuals might develop common and expensive conditions such as diabetes or ...

Erin Cunningham is a writer and editor based in Maryland with experience writing about state and local government, education, technology and more. Artificial Intelligence, machine learning and ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. Image: ...

LONDON--(BUSINESS WIRE)--Predictive maintenance is undoubtedly one of the most talked-about topics in maintenance and asset management. To gauge where manufacturing companies currently stand with ...

Early detection of a patient's risk to improve health outcomes is not a new idea. "Meet the disease on its way to attack you," was first penned by early Roman writer Juvenal. It is a mantra so ...

Equality Health LLC, a Phoenix-based health system focused on value-based care delivery, has significantly increased the number of value-based contracts and expanded its network of independent primary ...

The concept of predictive analytics is not new. Predictive analytics has been around for well over a decade. Despite its age, it has mainly been the purview of large organizations for most of its ...

Auto dealers today are under constant pressure to operate more efficiently, forecast more accurately, and make faster, data-driven decisions. From inventory management to customer engagement, ...

The construction industry continues to lag behind others when it comes to the adoption of digital work practices. How can the Fourth Industrial Revolution become reality without a fully digitized ...