Automation began with robots performing rule-based, recurring tasks – also called robotic process automation (RPA). As artificial intelligence (AI) evolved, automation’s capabilities have expanded to include end-to-end processes, connecting systems and orchestrating and enhancing work. The combination of AI, RPA and business process management (BPM) is called intelligent automation (IA). Elements of AI Automation AI automation comprises of several key components to reach its maximum potential and functionality. These include machine learning, artificial intelligence, natural language processing, robotic process automation, business process automation and decision automation. These components work together as a group to enable systems to learn from data, understand and generate comprehensive human language, automate recurring tasks, and make key data-driven decisions . Machine Learning (ML) Machine learning (ML) is a subset of AI. Machine learning plays an ...