Buch, Englisch, 280 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g
Buch, Englisch, 280 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g
Reihe: Manufacturing Design and Technology
ISBN: 978-1-032-91091-8
Verlag: Taylor & Francis Ltd
In today’s rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and data-driven decision-making are transforming traditional business management practices and leading to unparalleled innovation and efficiency.
Transforming Business Management with AI, BI, and Data-Driven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate real-world applications of AI and BI as decision-making tools, this book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in today’s dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Additionally, strategies for achieving data-driven decision-making at the highest level are also offered.
By bridging the gap between theoretical concepts and practical data analysis issues, this book serves as a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields.
Zielgruppe
Professional Reference
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Industrial Engineering
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
- Mathematik | Informatik Mathematik Operations Research
Weitere Infos & Material
1. The Impact of Deepfake Technology on Crisis Management in Business through AI and BI. 2. Advanced Speech Recognition System Using AI for Accurately Understanding Regional English Accents through Data-Driven Techniques. 3. Unleashing Business Intelligence and Economic Power in BRICS Nations. 4. The Future of Marketing: Influence of Augmented Reality and Virtual Reality Technologies. 5. Bibliometric Analysis of Financial Inclusion and Its Impact on Poverty Eradication and Reduction. 6. Combating Deepfakes: Converging and Diverging Approaches of Media and Internet Powerhouses against High-Tech Disinformation. 7. Bibliometric Insights: Emerging Trends in AI Adoption and Integration in Educational Institutions. 8. Employee Training, Educating Staff on Recognizing and Reporting Deepfakes, Building a Vigilant Corporate Culture. 9. Deepfake Prescriptions: When AI Plays Doctor through Data-Driven Techniques. 10. The Economic Implications of SDG 3 and Healthcare 3.0: A Multivariate Regression Analysis of AI Adoption, Accessibility, and Regulatory Factors. 11. Transforming Business Management with AI and Data-Driven Decision-Making: Insights from FemTech Tools for Pelvic Floor Muscle Training among Women. 12. Digitalization in the Banking Sector: The Case of Turkey. 13. The Impact of Artificial Intelligence and Business Intelligence on Banking Industry for Enhanced Data-Driven Decision-Making. 14. An Empirical Investigation into Analyzing the Impact of Implementing Artificial Intelligence in the Banking Industry. 15. The Face of Deception: Unmasking Deepfake Fraud in Financial Markets through AI, BI Tools.