Download this Executive Briefing to learn the key differences between Enterprise AI and IA
As artificial intelligence (AI) has increased in efficiency and spread across the country and across the world, more and more managers have turned towards AI solutions to improve their processes and become more agile. The technology has drastically transformed the workplace, making it a much more intelligent, accurate, and productive space than it was even ten years ago.
Two of the most prominent systems used by companies today are Robotic Process Automation (RPA) and Cross-Enterprise AI. Organizations seeking to employ these systems often know that they can greatly improve their internal operations but not the extent, and in many cases they aren’t even sure how, without the help of extensive implementation consulting, to properly use these systems and install them in a value-maximizing way. RPA and Cross-Enterprise AI are extremely powerful, but their actual purpose must be understood, and proper expectations must be set in order to fully harness them.
Strictly speaking, RPA is not a form of AI, as it represents more automation and performance of prescribed tasks than the use of data to create new information. RPA is designed to perform the same actions a human would through user interface and descriptor technologies. RPA operates in place of a human via a “bot” that uses various pathways and triggers. It does not create new data or enhance existing business models, but rather accelerates the timeline upon which those models operate.