It has been proven that end-to-end or large-scoped processes can behave intelligently by calling out to big data analytics, predictive analytics, cognitive knowledge services, mining, optimization, and signal or pattern recognition services. In many cases, the process software can embed these capabilities in a process/case to augment a case or process, identify opportunities for change, and make adjustments in flight. These are centralized and encompassing processes, but the idea of smaller sub-processes, or process snippets, that can be leveraged in different contexts in a static or dynamic mode is emerging. They may be either in a centrally controlled case or process, or acting autonomously. How do snippets get smart?
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