How to choose the right predictive analytics solutions and case studies are featured!

This document is a "Guidebook for Machine Learning and Predictive Analytics for Engineers" that leverages domain expertise to promote optimization without the need for the presence or knowledge of a data scientist. We provide analytics technology training in the form of detailed self-service demo videos and application advice to support the goals of machine learning and analytics. We feature case studies of major food companies that have utilized analytics to achieve waste reduction, quality improvement, raw material savings, and optimization of OEE. Please take a look. [Contents (excerpt)] ■ Case studies of advanced analytics ■ Skjern Paper, using AI to improve product quality and reduce waste ■ Exaro and Wabtec, enhancing coal business processing capacity ■ Henning Vand, gathering valuable insights from historical data ■ Positive changes at Rockwool ■ Impala Platinum, reducing process variation by 40% with Proficy CSense

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