For many enterprises, robotic process automation (RPA) has emerged as a best-fit alternate to make huge IT investments in order to make business processes more efficient. However, in situations where structured digital information becomes difficult to capture on the front end, or the application of business process rules requires judgement and context, there are questions about how to deploy RPA. With the expansion of AI (or cognitive computing), techniques exist to address deployment challenges and expand the reach and range of traditional RPA products.
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