Robotic Process Automation (RPA) and Artificial Intelligence (AI) are seen as complementary but different in their respective roles and capabilities. RPA uses software bots to perform routine tasks such as data entry, transaction processing, and complex workflows involving multiple systems. It offers a level of speed and accuracy unmatched by human effort, leading to a significant reduction in processing times and errors, and can transform business operations. However, RPA is not a panacea for all automation challenges due to its dependency on structured data and predefined rules. AI systems are designed to process data and make predictions rather than be programmed for specific tasks. The complexity of AI lies in its nature, it involves a blend of computer science, data science, mathematics, psychology, and linguistics.
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