Enables the system to perform the given tasks without instructions using algorithms and the templates within the data.
Machine Learning techniques, which are frequently used in Artificial Intelligence solutions, aim to solve problems without requiring a separate programming. Initially used in the fields of Computer Vision and Pattern Recognition, Machine Learning plays an important role in countless applications already.
While a machine is learning with the help of mathematical and statistical methods, visual, written or numerical data added into the system are integrated into the algorithms and they become a part of the whole robotic process.
As a result, the system is capable of detecting certain situations and acts accordingly. The statistical properties can be applied to the data to establish a relationship between the input and the output, and the system gains the ability to make predictions on outputs from the input. Machine Learning enables Robotic Process Automation implementations with the facilitation of human resources at a minimum.