IIoT: Industrial Internet of Things

IIoT (Industrial Internet of Things) refers to the integration of physical devices and systems with internet technologies in industries. This integration is done through sensors, connected devices and automation systems that collect data in real time and transmit it to analysis and management platforms. This data is then processed and used […]

AIoT: Artificial Intelligence of Things

AIoT, or Artificial Intelligence of Things, is a technology that combines the Internet of Things (IoT) with Artificial Intelligence (AI). IoT refers to the network of physical devices, vehicles, home appliances, and other items that are embedded with sensors, software, and internet connectivity, enabling these devices to collect and exchange data. AI, […]

IoT: Internet of Things

The Internet of Things (IoT) is a concept that refers to the connectivity of physical objects or electronic devices to the internet, allowing them to collect, send, and receive data. These devices can range from simple sensors, such as thermometers, to complex devices, such as smart cars and home appliances. IoT is based on technologies such as sensors, computing, and […]

BDA: Big Data Analytics

Big Data Analytics (BDA) is a set of technologies and processes used to analyze large volumes of data (big data) and extract valuable insights. This data can be structured, semi-structured or unstructured, coming from various sources such as social networks, IoT devices, e-commerce transactions, server logs, among others. BDA involves several steps, […]

DM: Data Mining

Data Mining (DM), also known as data mining, is a process that uses algorithms and statistical techniques to extract meaningful patterns and valuable information from large volumes of data. This process involves steps such as data collection, preprocessing, transformation, and modeling. Techniques used in DM include classification, regression, clustering, outlier detection, reduction of […]

KDD: Knowledge Discovery in Databases

KDD (Knowledge Discovery in Databases) is a process that involves extracting interesting and useful patterns from large volumes of data. This process consists of several steps, including selection, preprocessing, transformation, data mining, and interpretation. Selection involves choosing a relevant subset of data for analysis. Preprocessing includes […]

BI: Business Intelligence

Business Intelligence (BI) is a set of processes, technologies and practices that enable the transformation of raw data into useful and meaningful information for business decision-making. BI involves the collection, storage, access, analysis and presentation of data, often from different sources, to provide insights that help managers and […]

CI: Computational Intelligence

Intelligent Computing (IC), also known as Computational Intelligence, is a field of computer science that focuses on developing algorithms and methodologies inspired by natural processes to solve complex problems that are difficult to address using traditional methods. IC encompasses a variety of techniques, including artificial neural networks, genetic algorithms, algorithm-based systems, and […]

SI: Swarm Intelligence

Swarm Intelligence (SI) is a branch of artificial intelligence and computer science that studies the collective behavior of systems composed of simple entities that interact locally with each other and with the environment. These entities, or agents, follow simple rules, but the emergence of complex behaviors from these […]

EI: Emotional Intelligence

Emotional Intelligence (EI) is a multifaceted skill that involves the ability to recognize, understand, manage, and use emotions effectively. Developed by scholars such as Peter Salovey and John Mayer, EI encompasses four main components: perceiving emotions, using emotions to facilitate thinking, understanding emotions, and managing emotions. […]