Artificial Intelligence

The field of Artificial Intelligence has experienced significant progress in recent years. This category includes those technologies that enable a machine or device to acquire and apply knowledge and perform intelligent behavior, thus allowing the construction of intelligent systems for different application areas. To achieve this, these intelligent systems require a combination of different technologies, ranging from data generation or capture, data processing with appropriate computing infrastructures, data analytics, and support for automated learning or decision making.

DIGITAL TWINS

A digital model of a physical object or system used to simulate and analyze its behavior. These twins are created by collecting and processing data from sensors and other information sources, and can be used to predict performance, identify problems and optimize operation.

Digital twins can be used in a wide variety of applications, including industry, logistics and healthcare.

In addition, digital twins can also be used in conjunction with virtual reality and augmented reality to enhance real-time decision making and problem solving.

REAL-TIME DATA ANALYSIS

Data processing and analysis performed at the same time as the data is collected, allowing results to be obtained and decisions to be made as events occur.

This can be achieved through the use of technologies such as artificial intelligence and machine learning, which enable computers to analyze large amounts of data at high speed.

Real-time data analysis is especially useful in applications where quick decisions need to be made.

It can also be used to identify patterns and trends in real time, which can help companies make more informed decisions and improve efficiency.

PATTERN RECOGNITION

The process of identifying and analyzing patterns or relationships in data sets. This can be done manually or through the use of artificial intelligence and machine learning algorithms and technologies.

Pattern recognition is widely used in a variety of fields, such as data science, engineering and research, to identify trends, predict outcomes and make informed decisions. It can also be used in text analysis to identify patterns in language and to classify documents.

PREDICTIVE AND PRESCRIPTIVE TECHNOLOGIES

Predictive and prescriptive analytics technologies are tools that use data analysis techniques and predictive modeling to help companies make informed decisions.

Forecasting refers to the ability to anticipate the future behavior of a variable or set of variables from historical data and other factors.

Prescription, on the other hand, refers to the ability to recommend a specific course of action to achieve a given objective.

VIRTUAL AGENTS

Software programs designed to simulate human behavior and conversation.

They are primarily used to interact with users through voice or text to provide information or perform specific tasks .

Virtual agents rely on natural language processing and machine learning to understand and respond to user questions and commands.

ARTIFICIAL VISION

Use of Artificial Intelligence (AI) and computer technology to process and analyze images and videos, and perform tasks that require visual perception.

It is based on image processing and machine learning.

NATURAL LANGUAGE PROCESSING (NLP)

A branch of Artificial Intelligence (AI) that focuses on the interaction between computer and human language.

It is an interdisciplinary field that combines data analysis, machine learning and natural language techniques to enable computers to understand and process human language efficiently.

IA-BASED IMMERSIVE EXTENDED REALITY (IA-BASED RV/RA) TECHNOLOGIES

Technologies that combine virtual reality (VR) and augmented reality (AR) to create immersive experiences that combine the real world with virtual elements.

These technologies can use artificial intelligence (AI) to adapt and change in real time based on the interaction of the user and their environment.