TwinThread's predictive applications each offer two categories of value: Learning-based value - this comes from training models and discovering what they have learned about your process / equipment and taking action based on those learnings. (For example: using a Predictive Quality model to understand what process recipe should be used to achieve the best product quality.) Typically, these kinds of learnings get applied through an existing process of managing operator guidelines or recipes and limits within an automation system. Recommendation-based value - these are real-time recommendations provided to your operations team to improve performance immediately. Sticking with the Predictive Quality example, if a quality parameter is off-target, TwinThread provides the real-time feedback necessary to bring quality back to target in the most efficient way.  Applying both categories of value is essential to driving sustained improvements in performance.