Intelligent Process Automation (IPA) is an advanced form of process automation that integrates automation technologies such as natural language processing (NLP), cognitive computing, and robotic process automation (RPA) with artificial intelligence (AI) and machine learning (ML), to automate complex business processes. It involves the creation of intelligent systems that can perform tasks that were previously only possible through human intervention.
The critical difference between IPA and traditional process automation is that IPA systems are able to learn from data and adapt to new situations. This means they can perform more complex tasks, such as understanding natural language, making decisions based on data analysis, and even learning from experience.
One of the key benefits of IPA is that it can automate processes that were previously considered too complex or risky for automation. IPA can also improve operational efficiency, reduce errors, and increase productivity by automating routine tasks and allowing employees to focus on more strategic activities. This can lead to cost savings and improved customer experiences.
Overall, Intelligent Process Automation has the potential to transform businesses and industries, enabling organizations to become more agile, efficient, and competitive in an increasingly digital world.