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COMPANIES USAGE OF AI IN THE CZECH REPUBLIC

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002580" target="_blank" >RIV/75081431:_____/23:00002580 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.magnanimitas.cz/ADALTA/1202/papers/I_horak.pdf" target="_blank" >https://www.magnanimitas.cz/ADALTA/1202/papers/I_horak.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    COMPANIES USAGE OF AI IN THE CZECH REPUBLIC

  • Original language description

    AI provides the concept of machine learning that helps to automate the decision-making process by analyzing data inputs. This paper is focused on the usage of AI mechanisms in the Czech Republic across business segments. The data from the Czech statistical office provided from 6 794 companies on the usage of mechanism as text mining, speech recognition and generation, image recognition, and machine learning robotic process automatization. The most used mechanism is image recognition, which used all of the sectors and the least are speech generation and machine learning.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Ad Alta - Journal of Interdisciplinary Research

  • ISSN

    1804-7890

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    5

  • Pages from-to

    320-324

  • UT code for WoS article

    000921624200053

  • EID of the result in the Scopus database