Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

If you’re involved in quality assurance, which you most likely are or wouldn’t have started reading this article, then you know how important maintaining software quality is—especially in the modern ...

Today’s leading businesses, governments, and other organizations collect large amounts of data about their operations and their customers. Classic examples are Amazon, Twitter, or any company that has ...

ETQ, a Hexagon business, recently launched the ETQ Reliance® predictive quality analytics solution, bringing Artificial Intelligence-driven analytics to its quality management system (QMS.) ETQ ...

Overview:  Enterprises use four main types of analytics: descriptive, diagnostic, predictive, and prescriptive.Each type ...

Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

MEDDDICAL releases a guide for pharma data scientists and RWE Directors on building outcome prediction models with real-world ...

AI-powered payroll intelligence is fast becoming an essential part of today's workforce management system. Payroll sys ...

Despite fears of surveillance state activities reminiscent of dark sci-fi stories, police hope predictive analytics developments will help them to manage tight budgets and resources, including to ...

Connected HVAC systems and AI-driven diagnostics are helping contractors shift from reactive repairs to predictive maintenance.