Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

In the second in a series, MathWorks industry manager Philipp Wallner and product manager Eric Wetjen explore the steps needed to leverage the power of artificial intelligence (AI) in effectively ...

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, ...

As the manufacturing industry faces the second-highest workforce retirement rate among industries, AI implementation has ...

As the world of industrial technology has become more competitive, companies have realized the importance of being able to adapt quickly to unpredictable changes in workflow and production. When ...

What is a predictive maintenance model and why did you build one? For decades after the global industrial boom, many industries relied on a simple rule: wait for a machine to break, then repair it.

In its most simplistic sense, there are two types of maintenance: reactive and proactive. While reactive requires managing a failure after it occurs, the various proactive maintenance approaches allow ...