Most simply, IA aims to automate end-to-end processes on computers and sits at the crossroads of artificial intelligence (AI), robotic process automation (RPA), and workflow and cloud platforms. Some have described this as “hyperautomation” or “cognitive automation,” both of which I consider as synonyms.
Now, with a tool as powerful and revolutionary as IA, it’s tempting to ask exactly how much of our work as humans can automation take off our plates. The answer? Just enough, and not a minute more.
After all, IA works together with humans to bridge people, organizations, and processes. It’s built for the people, by people and centers humans smack in the middle of the new future of work—one where we’re all freed from the laborious work that weighs us down so we can focus on the work that brings us joy.
I broke down the anatomy of the new generation of IA into four parts:
Vision, which acts as the eyes of the new automated workforce. Computer vision empowers use cases, like automated online diagnosis for medical issues such as burns and skin diseases.
Execution, which acts as the ‘hands and legs’ of the automated workforce. This includes your smart workflows and robots that support your IA initiatives.
Language, which acts as the ‘mouth and ears’ of your automated workforce. Through natural language processing (NLP), this part of the IA equation helps software robots talk and understand conversations with colleagues and customers.
Thinking and learning, which is powered by machine learning, acts as the ‘brain’ of the new automated workforce to make possible such powerful use cases as helping educators measure student attention and adjust classrooms to the level of engagement of classes