Machine Learning for Strategic Facility and Project Management in Multi-Disciplinary Education
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Estate Management | India | Volume 13 Issue 12, December 2024 | Popularity: 4.9 / 10


     

Machine Learning for Strategic Facility and Project Management in Multi-Disciplinary Education

Dayanand Jamkhandikar


Abstract: Strategic facility and project management in multi-disciplinary education requires innovative and data-driven solutions to improve operational efficiency, resource allocation, and predictive maintenance. This paper explores the application of Machine Learning (ML) to enhance strategic decision-making and optimize facility and project management processes. Emphasizing cloud integration, IoT solutions, and real-time analytics, the study demonstrates the transformative potential of ML in addressing complex challenges within educational environments. By leveraging diverse use cases and modern frameworks, this work illustrates how ML-based strategies can bridge gaps across disciplines and foster collaborative ecosystems for sustainable management.


Keywords: Machine Learning, Facility Management, Project Management, Multi-Disciplinary Education, Predictive Analytics, Cloud Integration, IoT Solutions, Real-Time Analytics, Collaboration, Strategic Decision-Making


Edition: Volume 13 Issue 12, December 2024


Pages: 186 - 191


DOI: https://www.doi.org/10.21275/SR241123050821



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Dayanand Jamkhandikar, "Machine Learning for Strategic Facility and Project Management in Multi-Disciplinary Education", International Journal of Science and Research (IJSR), Volume 13 Issue 12, December 2024, pp. 186-191, https://www.ijsr.net/getabstract.php?paperid=SR241123050821, DOI: https://www.doi.org/10.21275/SR241123050821