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 ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

Researchers at IIT Bombay have developed predictive models capable of calculating sintering-induced shrinkage in 3D printed ...

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 ...

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 ...

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 ...

According to Brian Ferdinand, a portfolio manager at EverForward and Strategic Advisor to Helix Alpha Systems, predictive ...