Is RPA the "AI" Prodigy?
What is RPA for?
RPA can be described as the introduction of digital work (digital worker) into the corporate organization to carry out work that was previously only considered capable of performing human work, or to increase human work in the performance of highly advanced jobs.
RPA comprises different types: automation of routine office work and automation of advanced intelligent processes through means such as artificial intelligence (AI). The efficacy of routine office work automation has been operationally validated not only in North America and Europe, but also in Japan, and this type of automation is now being used practically.
RPA Classes and Main Areas of Application
There are three classes in RPA, and today companies are starting to create considerable impact through the implementation of Class 1.
Class 1 – Routine Work Automation
Automate even routine tasks that were performed by human work due to applied restrictions, using business rules engine, image recognition technology, workflow, among others, however, human work is necessary to do against situations such as exceptional cases.
Data collection (tracking).
Data query (structured data).
Login to multiple systems, etc.
Rules engine recognition workflow.
“Mega macro” with the power to freely perform cross-system processing
Automation of processing of exceptional cases and non-routine tasks Learning based on data analysis (deep learning)
Unstructured data processing (eg natural languages)
Data query (unstructured data)
Answer queries using the knowledge base (knowledge database, massive data source)
Analysis provided through human intervention, etc.
Create rules from aggregated past data
Clase 3 — Automatización Avanzada
Advanced AI enables automation of process analysis, improvement, and decision-making beyond automating work.
“Advanced AI / Autonomous AI”