Artificial intelligence & knowledge based automation enhancement

A non-transitory computer-readable medium having stored thereon computer-readable instructions for creating adapters that enable new and updated applications including steps of:

• (a) collecting automation information related to a current application;
• (b) locating application controls;
• (c) scanning the computer application to extract data on processing power, load, footprint, and performance attributes;
• (d) using the data in an automation profile generator for determining a system automation profile;
• (e) using an artificial intelligence based modeler for analyzing input and output data;
• (f) and applying the data to an artificial intelligence model for training and predicting performance, and wherein if the training and predicting function is not satisfied during test, the artificial intelligence model is adjusted and the process of creating a satisfactory performance model is repeated, until the training and predicting function is satisfied;
• (g) adjusting the artificial intelligence model to achieve an updated automation criteria with optimal values, wherein the optimal values provide input to an automation criteria library for storing and updating a prior automation criteria;
• and (h) exporting the upgraded automation criteria values for incorporation in a computer-to-be-updated, to achieve a reliable automatic update.

A computer system for creating adapters that enable new and updated applications comprising:

• (a) an automation profile generator for determining a computer to be updated computer automation profile as an aggregate function of the data provided by the system's application inspector;
• (b) an artificial intelligence based modeler for applying artificial intelligence mechanisms and techniques to determine optimal automation criteria based on the system automation profile;
• (c) a recommendation engine for merging one or more artificial intelligence based modeler results, for performing an aggregate analysis, for adjusting an automation criteria to optimize values;
• (d) an automation criteria library for storage, update and retrieval;
• (e) a learning and update mechanism for updating the automation criteria over the entire period of time during which automation is performed on the computer to be updated;
• (f) a library porting mechanism for exporting the automation criteria library to a computer-to-be-updated, to achieve a reliable automatic update.