05262nam a22005895i 4500 978-3-031-60815-5 DE-He213 20251030113113.0 cr nn 008mamaa 240929s2024 sz | s |||| 0|eng d 9783031608155 978-3-031-60815-5 10.1007/978-3-031-60815-5 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Data-Centric Business and Applications [electronic resource] : Advancements in Information and Knowledge Management, Volume 3 / edited by Peter Štarchoň, Solomiia Fedushko, Katarína Gubíniová. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 383 p. 130 illus., 93 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 212 Cloud Market – Possibilities, Potentials and Challenges of Cloud Computing from a Provider’s perspective -- Innovation Regional Policy and Smart Specialization: European Countries and Ukraine -- Risk Management in the non-profit Public Sector – Hazards of a Lack of Reflection within the Police Force -- The Classifier Models Usage for the Recruitment Process Forecasting for Applicants of Higher Education to Universities of Ukraine -- Virtual Museum Design in Sustainable Cultural Heritage: A Literature Review -- Reputation of a non-profit organisation - A quantitative-empirical study embedded in risk management on police reputation and reputation loss -- Artificial intelligence application for customer behavior and churn prediction -- Workplace Discrimination from the Perspective of Leaders of Slovak Enterprises – Pilot Study -- Performance evaluation of the IEEE802.11ax amendment -- Virtual Agile Collaboration During a Lockdown: Case Study -- Flex-Route Transit: Problem definition, case studies and development over years in optimization literature -- Development of regional IT clusters in conditions of permanent socio-economic threats -- Information and economic mechanisms for the development of system integration in the management of enterprises' business processes -- Aggregation of resumes and extraction of information -- Review of Automatic Speech Recognition Systems for Ukrainian and English Language -- Strategic Direction of Financial Activities of EU States in Digital Business Models -- Alzheimer’s Disease Diagnosis Using Machine Learning Approach. Embark on a journey into the future of business with a groundbreaking book that explores the dynamic interplay between data and business, unlocking its transformative power in strategy, decision-making, and application development. Dive deep into cutting-edge topics such as data governance, analytics, knowledge discovery, and AI, and gain an in-depth understanding of managing, analyzing, and extracting insights from complex data sets. This book's holistic approach sets this book apart, seamlessly integrating the latest information and knowledge management concepts. From integrating data-centric approaches into business models to addressing considerations in data-driven decisions, the diverse topics covered will provide invaluable insights into the central role of data in shaping the future of business and applications. This book sheds light on the ongoing advances in structural management, demonstrating how previously understood knowledge, technologies, and data can pave the way for sustainable solutions in the face of innovation, meet insight, and allow businesses to thrive in the digital age. Engineering Data processing. Computational intelligence. 64052 Business information services. Artificial intelligence. 58441 Data Engineering. 66059 Computational Intelligence. 64052 Business Information Systems. 66184 Artificial Intelligence. 58441 Štarchoň, Peter. editor. edt http://id.loc.gov/vocabulary/relators/edt 79210 Fedushko, Solomiia. editor. (orcid)0000-0001-7548-5856 https://orcid.org/0000-0001-7548-5856 edt http://id.loc.gov/vocabulary/relators/edt 79211 Gubíniová, Katarína. editor. edt http://id.loc.gov/vocabulary/relators/edt 79212 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031608148 Printed edition: 9783031608162 Printed edition: 9783031608179 Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 212 https://doi.org/10.1007/978-3-031-60815-5 ZDB-2-INR ZDB-2-SXIT 63818 63818