Integrating AI and Machine Learning into Business and Management Education
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| Title: | Integrating AI and Machine Learning into Business and Management Education |
|---|---|
| Language: | English |
| Authors: | Manjunath B. R., Sunil Kumar |
| Source: | IGI Global. 2026. |
| Availability: | IGI Global. 701 East Chocolate Avenue Suite 200, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; e-mail: cust@igi-global.com; Web site: http://www.igi-global.com/ |
| Peer Reviewed: | Y |
| Page Count: | 446 |
| Publication Date: | 2026 |
| Intended Audience: | Researchers; Policymakers |
| Document Type: | Book Collected Works - General |
| Descriptors: | Artificial Intelligence, Technology Uses in Education, Educational Technology, Technology Integration, Electronic Learning, Business Education, Individualized Instruction, Problem Solving |
| DOI: | 10.4018/979-8-3373-2150-9 |
| ISBN: | 979-83-373-2150-9 |
| Abstract: | The integration of AI and machine Learning into business education has developed a more efficient way of training future leaders. These technologies enhance the curriculum design and equip students with critical and analytical decision skills for today's fast paced business environment. AI and machine learning tools foster experiential learning and bridge the gap between theory and practice. As industries increasingly rely on automation and predictive analytics, embedding these technologies into business education is not just innovative, it is imperative for preparing agile, tech-savvy professionals capable of navigating complex organizational challenges. "Integrating AI and Machine Learning into Business and Management Education" explores how the transformative capabilities of AI and machine learning can be effectively integrated into management education. This book encourages the adoption of AI for personalized learning and advanced problem-solving in management training. Covering topics such as education, AI, and management, this book is an excellent resource for academicians, researchers, corporate trainers, graduates, and policymakers. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | ED680119 |
| Database: | ERIC |
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