Arundo Blog Applying ML Across Common Bottlenecks in Industrial Business Processes

In this article, I discuss how you can identify the best use cases for the application of machine learning (ML) in industrial operations, from the perspective of technical feasibility and value generated. I recommend a strategy searching for common tasks that bottleneck multiple workflows and could be solved by machine learning in contrast to focusing on direct outputs of isolated workflows.