The document discusses the challenges and considerations of implementing machine learning in mining, emphasizing that it is not a silver bullet but a tool that requires expertise in various fields, including data science and management. It highlights the importance of focusing on results, behavior change, and obtaining useful data rather than just running pilots. The author argues that improving productivity, profit, and safety should be the ultimate goals, with data being the only significant asset in this context.
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