Achieving Sustainable Business Through AI, Technology Education and Computer Science
Springer International Publishing (Verlag)
978-3-031-71212-8 (ISBN)
This book delves into the relationship between artificial intelligence, technology education, and computer science intersect with sustainable business practices. This book discovers the transformative potential of cutting-edge technologies like artificial intelligence, machine learning, and blockchain across diverse sectors such as health care, education, government services, and digital transformation.
Technology Implementation in Education Quality Assurance and Professions.- The impact of the use of artificial intelligence applications on the preparation of scientific research in the field of accounting at universities A practical study on a sample of teaching staff at Sudanese universities 2024.- Higher Education as a Proxy for Technology Its Impact on Chronic and Life Threatening Illnesses in MENA Countries.- Digital Transformation in Professional Education Status, Standards and Strategies for Airport Operation Courses.- Innovative Integration of Experiential Learning in Hospitality and Tourism Management Education A Systematic Review.- Intelligent Information System Leveraging AI and Machine Learning for University Course Registration and Academic Performance Enhancement in Educational Systems.- The Extent of Impact Digitalization on Large Accounting and Auditing Firms Worldwide.- Strategic Planning Competencies and Their Relationship with Crisis Management in Palestinian Schools.- A Proposed Model of Gender Differences in Metaverse Usage Intentions in Education An Innovation Resistance Theory Perspective.- Impact of Artificial Intelligence and Big Data on Auditing A study on the perception of auditors.- Dialectical relationship between the Arabic language education and Modern Technology.- Examining the Impact of Artificial Intelligence Adoption on Academic Writing among Business Students in Lebanese Higher Education.
Erscheinungsdatum | 08.11.2024 |
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Reihe/Serie | Studies in Big Data |
Zusatzinfo | XV, 744 p. 102 illus., 69 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik | |
Schlagworte | AI • artificial intelligence technology • Business sustainability • Computational Intelligence • Technology Education |
ISBN-10 | 3-031-71212-9 / 3031712129 |
ISBN-13 | 978-3-031-71212-8 / 9783031712128 |
Zustand | Neuware |
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