Robots, AI & Business

After years of development in Artificial Intelligence, after more than 3 decades, the epitome of its application is found in all the sectors that surround us, from retail to restaurants and cafes.

This is CafeX’s robot barista, a company in San Francisco, USA whose stores have closed and you can only find them at two of the airports in the Bay Area.

The robot revolution has started in San Francisco, or has it not?
The techno-centric city has seen automation in the restaurant sector in recent years. The objective is that the robots used are those who occupy positions that are highly repetitive and that require many hours of uninterrupted work, in the sense of freeing people to provide superior quality services to customers. As a consequence of this technological incursion, labor costs, tips, among others, would become obsolete, so that restaurateurs could invest more in the quality of their products, supporting the increase of profits for the owners, or at least it would be the theory.
If you want to read more, click here. Source: Tech Insider.

“AI” rEvolutions

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.

Proceso Manual

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).

Data entry.


Login to multiple systems, etc.

Commercial image

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

“Cognitive AI”


Class 2 – Partial Automation of Some Non-Repetitive Tasks


Clase 3 — Automatización Avanzada

Advanced AI enables automation of process analysis, improvement, and decision-making beyond automating work.

Decision making

Complex processing

Advanced analysis

“Advanced AI / Autonomous AI”