Harnessing AI, Machine Learning, and IoT for Intelligent Business
Springer International Publishing
978-3-031-67889-9 (ISBN)
This book is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. The convergence of AI, ML, and IoT has revolutionized various industries, and business management and finance are no exceptions. This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. It equips both academics and industry professionals with the knowledge and tools necessary to navigate the changing landscape and effectively harness these technologies to gain a competitive edge.
This book delves into the transformative potential of these technologies and provides valuable insights into their application in decision-making, risk management, financial analysis, and strategic planning. It offers a holistic perspective on how organizations can leverage AI, ML, and IoT to drive innovation, enhance operational efficiency, and achieve sustainable growth in the digital age.
Allam Hamdan is a Full Professor, he is listed within the World's top 2% scientists list by Stanford University, he is the Dean of College of Business and Finance at Ahlia University, Bahrain. Author of many publications (more than 250 papers, 174 listed in Scopus) in regional and international journals that discussed several accountings, financial and economic issues concerning the Arab world. In addition, he has interests in educational related issues in the Arab world universities like educational governance, investment in education and economic growth. Awarded the First Prize of Al-Owais Creative Award, UAE, 2019 and 2017; the Second Prize of Rashid bin Humaid Award for Culture and Science, UAE, 2016; the Third Prize of Arab Prize for the Social Sciences and Humanities, 2015, and the First Prize of "Durrat Watan", UAE, 2013. Achieved the highest (1st) scientific research citation among the Arab countries according to Arcif 2018-2022. Appointed an external panel member as part of Bahrain Quality Assurance Authority and National Qualifications Framework NQF as a validator, and appeal committee, General Directorate of NQF, Kingdom of Bahrain. Member of Steering Committee in International Arab Conference of Quality Assurance of Higher Education. Currently leading a mission driven process for International Accreditation for College of Business and Finance by Association to Advance Collegiate Schools of Business (AACSB)
Measuring Metacognitive Skills: Validating MCS Scale to Assess the Influence of AI Applications among University Students.- Examining the Influence of Crude Oil Price Volatility on the Stock Performance of Key Petroleum Corporations in the Indian Stock Exchange: A Quantitative Analysis.- EXPLORING CHALLENGES AND AWARENESS LEVELS OF FINANCIAL INSTITUTIONS IN FORENSIC ACCOUNTING.- The Role of Women Empowerment in Promoting Gender Equality and Economic Advancement.- An Economic Analysis of Trend and Composition of Public Expenditure in the State of Tamil Nadu.- Bridging the Digital Chasm: A Comprehensive Analysis of the Digital Divide in Shaping Healthcare Professionals.- INTERCONNECTED DYNAMICS OF GOLD, NIFTY, CRUDE OIL, AND USD/INR: INSIGHTS FROM A PANEL DATA VAR ANALYSIS.- PROMOTION OF SUSTAINABLE LIVELIHOOD AMONG WOMEN CONSTRUCTION WORKERS.- Pyramid supply chain model for Cardamom and Black Pepper in Idukki Dist. Kerala, India: Review.- OCCUPATIONAL STRESS AND EMOTIONAL INTELLIGENCE AS ANTECEDENTS TO JOB PERFORMANCE - A STUDY WITH REFERENCE TO MEDICAL PRACTITIONERS.
| Erscheint lt. Verlag | 2.11.2024 |
|---|---|
| Reihe/Serie | Studies in Systems, Decision and Control |
| Zusatzinfo | XVII, 1215 p. 208 illus., 180 illus. in color. In 2 volumes, not available separately. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Artificial Intelligence • Business Management • Decision Making • Digital transformation • Finance • internet of things • machine learning • Risk Management |
| ISBN-10 | 3-031-67889-3 / 3031678893 |
| ISBN-13 | 978-3-031-67889-9 / 9783031678899 |
| Zustand | Neuware |
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