Machine Learning as a concept has been in existence for many decades now. However, most manufacturing operations — such as repairing an aircraft engine, planning the product mix in cement production, or ensuring energy control in a large facility — are still largely dependent on experience-based human decisions. The advent of Big Data technology, coupled with efficient data storage mechanisms and parallel processing frameworks, has found new use for the petabytes of data generated by manufacturing operations. Applying Machine Learning techniques to the shop floor has enabled increased accuracy in decisionmaking and improvement in performance.