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Record Nr. |
UNINA9910879586503321 |
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Titolo |
Data-Centric Business and Applications : Advancements in Information and Knowledge Management, Volume 1 / / edited by Peter Štarchoň, Solomiia Fedushko, Katarína Gubíniová |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (417 pages) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies, , 2367-4520 ; ; 213 |
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Disciplina |
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Soggetti |
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Engineering - Data processing |
Computational intelligence |
Business information services |
Artificial intelligence |
Data Engineering |
Computational Intelligence |
Business Information Systems |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Peculiarities of professional training of informatics and mathematics teachers at universities in Poland and Ukraine -- The Unique Selling Propositions of Small and Medium Enterprises and their Influence on the level of Covid 19 impact on these SMEs -- Improving the recruitment process in multinational organizations using Robotic Process Automation and Artificial Intelligence -- Historiographical Myth or Proven Fact? The Discourse Around the So-Called Marian Reforms in The Works of Contemporary Researchers -- “Deprivation of control” and an evolution of the institution of expatriates: A case study of changing HQ’s controls over subsidiaries in a Norwegian MNC internationalization process -- Management in Family Business in the Slovak Republic -- Technologies For Electronic Document Management In The Enterprise -- Management of Small and Medium-sized |
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Enterprises during the COVID-19 Pandemic in the Slovak Republic. |
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Sommario/riassunto |
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This book explores the profound impact of data on company operations, decision-making, and application development. The book delves into sophisticated information and knowledge management principles, including data governance, analytics, knowledge discovery, and artificial intelligence. The subject encompasses data-centric business models, emerging technology, and ethical considerations. Each chapter is authored by an expert in the area who offers important insights into the influence of data on the advancement of business and application development. The material herein is appropriate for a diverse audience, encompassing academics, practitioners, business professionals, and researchers. The editors sincerely appreciate the writers for their significant contributions, which have been crucial in developing an essential resource for studying and advancing data-centric businesses and applications. |
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