Manufacturing is one of the sectors that might benefit the most from Spotfire’s capabilities. Especially when it comes to dealing with challenges on the journey to become a smart factory.
In industrial manufacturing, the analysis of image data enhances monitoring and optimizes defect detection. Standardized processes allow the use of machine learning (ML) to handle complex image signals. For more challenging tasks, AI models like Convolutional Neural Networks (CNN) offer more effective solutions. Discover how pre-trained models boost efficiency and the benefits this technology brings to real-world applications.
Those traditional statistical methods are excellent tools, but they have certain limitations regarding their ability to respond to highly complex relationships in the data. This is where AI and ML come in.
Physical maintenance can lead to costly interruptions in the manufacturing process. By means of predictive analytics, repair and maintenance can be scheduled based on real-time predicted failure probabilities.
The use of powerful tools, such as Alteryx AutoML and Machine Learning in Alteryx Designer, can ensure the optimisation and further development of manufacturing processes and create new opportunities and savings.
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