Everyone looking to get to the next stage of RPA implementation is adding different aspects of AI to their automation initiatives. As per Deloitte, initiatives that scale are more likely to use a combination of RPA and AI. According to their study, almost half (45 percent) of organizations scaling automation combine RPA and AI. The automation programs also report whether the automation initiatives meet or exceed their expectations.
Among AI, we are seeing lots of implementations with ML, computer vision, and Natural Language Processing (NLP). These are being used in specific use cases where AI is enabling smart detection, prediction, and execution; for example, to read emails (NLP), image or video processing (computer vision), and sentiment detection. As per a study conducted by Deloitte, the most popular AI solutions being implemented are ML-based solutions, expert or rule-based systems, and NLP-based solutions.
Let's look at two key areas where...
