Zubel: In terms of analytics and AI, faster clinical data monitoring is already achievable. Predictive modeling is improving, but accuracy remains a challenge, particularly in oncology.

Bruce Slusser from Avanceon highlights how AI improves model predictive control (MPC) systems by increasing predictive accuracy and enabling real-time optimization of complex processes. The ...

—In a new study, researchers applied predictive machine learning techniques to develop an algorithm capable of identifying patients at increased risk of upstaging, personalizing treatment, and ...

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 ...

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 ...

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: ...

If you scan the ad tech headlines, you’d assume artificial intelligence (AI) offers the solution to every challenge facing today’s brands and agencies. Even if marketers understand how the hype ...

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 ...