Detect quality issues at an early stage, predict their severity and address them before they do serious damage to your business.
Resolve quality issues before they become a problem
Customers have increasingly high expectations for quality. Not meeting these expectations results in dissatisfaction, customer churn, and often warranty costs. Or worse: legal liability and long-term brand damage. Data science can protect your business against these threatening implications by enabling you to detect quality issues at an early stage, predict their severity and address them before they do serious damage to your business. Beyond protection, you can also use these quality insights to improve product development and production processes.
Related Resources. Take a Look!
Get a complimentary copy of the 2020 Forrester Wave: Multimodal Predictive Analytics And Machine Learning Solutions
Learn how the project partners identify huge potential for the application of machine learning to predict product defects early in the production line.
Learn exactly what industrial internet of things (IIoT) is, and why there’s an even better way forward—the intelligent industrial internet of things.
Learn how Daimler and Miele used RapidMiner to accelerate the product design and assembly planning phases in their factories to reduce time and cost.
Machine learning has changed manufacturing forever, and for the better. Here are some of the ways ML will continue to revolutionize the industry in 2021 and beyond.