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Explore the cutting-edge world of AI and technology with Skrivanek AI’s extensive glossary. Designed to enlighten and inform, this resource is your gateway to mastering the essential terms and concepts at the heart of artificial intelligence, data management, and modern digital innovation. Ideal for both tech aficionados and industry professionals, our glossary is a valuable tool for navigating and excelling in the rapidly evolving landscape of AI.

AI (Artificial Intelligence)

The simulation of human intelligence processes by machines, especially computer systems.


A set of rules or instructions given to an AI program or machine to help it learn and make decisions.

API (Application programming interface)

A set of protocols and tools for building software and applications, allowing different software programs to communicate with each other.

Augmented Reality (AR)

An interactive experience of a real-world environment where objects are enhanced by computer-generated perceptual information.

Big data

Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations.


A system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system.


A software application used to conduct an online chat conversation via text or text-to-speech.

Cloud computing

The delivery of different services through the Internet, including data storage, servers, databases, networking, and software.

Cloud Storage

A model of computer data storage where digital data is stored in logical pools, often termed as “the cloud”.

Cognitive computing

Technology that mimics human thought processes in a computerized model.

Compliance (in AI)

Adherence to various laws and regulations in the development and application of AI technologies.


The practice of protecting systems, networks, and programs from digital attacks.

Data Analytics

The science of analyzing raw data to make conclusions about that information.

Data Encryption

The process of converting data into a code to prevent unauthorized access.

Data Integrity

The accuracy and consistency of data over its entire lifecycle.

Data Management

The practice of collecting, keeping, and using data securely, efficiently, and cost-effectively.

Data Mining

The process of discovering patterns in large data sets using methods at the intersection of machine learning, statistics, and database systems.

Data Visualization

The graphical representation of information and data.

Deep Learning

A subset of machine learning in AI that mimics the workings of the human brain.

Edge Computing

A distributed computing paradigm that brings computation and data storage closer to the location where it is needed.

Internet of things (IoT)

The network of physical objects embedded with sensors, software, and other technologies for connecting and exchanging data.

Machine Ethics

The branch of ethics concerned with how AI beings should behave and how humans should design and treat them.

Machine Learning

AI technologies capable of understanding, interpreting, and responding in multiple languages.

Natural Language Processing (NLP)

A branch of AI that helps computers understand, interpret, and manipulate human language.

Predictive Analytics

The use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes.

Quantum Computing

A type of computing that uses quantum phenomena like superposition and quantum entanglement.

Real-time insights

Immediate extraction and analysis of data for instant findings and decision-making.

Robotics Process Automation (RPA)

The use of software with AI and machine learning capabilities to handle high-volume, repeatable tasks.

Semantic Integrity

Ensuring data is accurate and consistent across different datasets and adheres to defined meanings and rules.

SEO (Search Engine Optimization)

The practice of increasing the quantity and quality of traffic to your website through organic search engine results.

Sentiment Analysis

The use of NLP, text analysis, and computational linguistics to identify and extract subjective information.

Virtual reality (VR)

A simulated experience that can be similar to or completely different from the real world.