IDC Report Offers Pragmatic Framework for Understanding AI Automation

International Data Corporation (IDC) has published a framework designed to guide business and IT decision makers faced with planning and investment decisions related to artificial intelligence (AI) for automation. The framework defines the expected levels of human-machine interaction and the hierarchy of automation scope, which can then serve as a basis for assessing data, algorithm, IT, staffing requirements, and potential risks at the intersection of AI capabilities and use cases. IDC has published a framework designed to guide planning and investment decisions related to artificial intelligence (AI) for automation. "IDC's AI-based automation evolution framework was developed based on global market research that highlighted two lessons," said Dan Vesset, group vice president, Analytics and Information Management Research at IDC. "First is the need to understand the components of the evolving relationship between humans and machines. Second is to understand the scope of AI-based automation. Once these two dimensions are brought into focus, the planning and investment decisions associated with AI-based automation will be much clearer."