Footnotes

Linked content:
- Methodological explanations

USAGE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY

1.1 Technologies performing analysis of written language (text mining)

Text mining is a process in which large amounts of text are converted into useful information for various purposes. An example of such technology is Natural Language Processing (NLP).

1.2 Technologies converting spoken language into machine-readable format (speech recognition)

This includes, but is not limited to, the use of digital assistants such as Google Voice, Amazon Alexa, Microsoft Cortana, Apple Siri.

1.3 Technologies generating written or spoken language (natural language generation)

These technologies allow speech recognition, translation from one language to another (e.g. Google Translate). It can be used for automated document writing, e.g. for product descriptions, preparing meeting notes and other (current transcript). An example of use is also a chatbot, which works on the basis of artificial intelligence and allows communication with customers in the form of text messages based on methods such as natural language generation and machine learning.

1.4 Technologies identifying objects or persons based on images, e.g. image, fingerprint, face, object, video

Examples of such technology are computer vision, which captures, processes, analyses and interprets images; machine vision, which enables product identification, product quality control; video analytics.

1.5 Machine learning (e.g. deep learning) for data analysis

Machine learning is a method by which algorithms create a model (e.g. decision trees, a regression model) used for data analysis or prediction. It is used e.g. in recommendation systems in online sales, dynamic price adjustment, predictive maintenance, advanced sales forecast analysis, distribution optimization, inventory, for detection and prevention of cyber-attacks.

1.6 Technologies automating different workflows or assisting in decision-making (artificial intelligence based software robotic process automation)

Intelligent automation (robotic process automation – RPA, which uses artificial intelligence) is a solution that automates business processes with the help of software robots, e.g. opening an electronic attachment, scanning prices from websites.

1.7 Technologies enabling physical movement of machines via autonomous decisions based on observation of surroundings, e.g. autonomous robots, self-driving vehicles, autonomous drone

These include, for example, robots that use machine learning, or self-driving vehicles that use a combination of machine learning and computer vision for safe driving. Autonomous robots are intelligent machines that can perform tasks on their own, e.g. in warehouses.