The automation journey can be a long one – and possibly one with no end. Many organizations start with robotic process automation (RPA) and almost immediately find opportunity for increased productivity and accuracy in the back office – a move that is just the first stage of a rewarding effort to increase operational efficiency and create value across the organization. The next stage is defined by technologies that build on the first: these are intelligent automation technologies.
A sub field of artificial intelligence that trains computers to interpret and understand the visual world. Using deep learning models, machines can accurately identify and classify objects and then react to what they “see.”
A sub-field of Artificial Intelligence that is focused on enabling computers to understand and process human languages.
A sub-field of Artificial Intelligence focusing on the development of computer programs that can access data and use it learn for themselves.
Involves neural networks that include many (deep) layers that allow for advanced learning.
Automation of business processes using software robots that perform repetitive tasks, interpret, trigger responses 24/7 and with 0 errors.