Data and Business Models Matter for Intelligent Automation Deployment

KPMG recently conducted a series of on-line brainstorming sessions and detailed interviews with consulting practitioners, enterprise users and service/technology providers on the future of intelligent automation (the combination of RPA, Artificial Intelligence, Cognitive Computing and Machine Learning). Based on this research, we are developing a deployment model for intelligent automation which has four states - static, incremental, disruptive and transformative. Most companies today fall into the static and incremental quadrants due to the fact that true transformation due to IA is driven by both organizational and technology investments and change, the combination of which is still a challenge. We feel that the ability of companies to change business models and processes along with driving innovative uses of data will determine the scale and scope of IA investment returns.