Within any given organization, there can be hundreds of processes that are ripe for re-engineering and automation. In recent years, companies have successfully
implemented intelligent automation technologies and are growing eager to expand their automation efforts. Executives are now setting out with more
aggressive automation goals, some increasing by tenfold year over year, pushing Intelligent Automation teams to get innovative with how they broaden Intelligent
Process Discovery operations.

Intelligent Automation teams find themselves bound by the manual nature of classic Process Discovery methodologies and have begun looking to Process Discovery
technologies to help scale their efforts in developing an automation pipeline, tracking accurate process metrics, calculating potential payback, and accelerating
automation delivery. While the use case for each business can vary, it is important to understand the distinction between two main offerings within a Process Discovery
tool: Process Mining and Task Mining. We’ll discuss the different purposes of the two tools, what we’ve seen work in practice, and the current challenges.

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