Machine Learning Model Deployment and Management: A Hands-on Tutorial

محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:Communications of the Association for Information Systems vol. 56 (2025), p. 1027-1046
المؤلف الرئيسي: Kayhan, Varol O
مؤلفون آخرون: Smith, Tim C, Berndt, Donald J
منشور في:
Association for Information Systems
الموضوعات:
الوصول للمادة أونلاين:Citation/Abstract
Full Text - PDF
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100 1 |a Kayhan, Varol O 
245 1 |a Machine Learning Model Deployment and Management: A Hands-on Tutorial 
260 |b Association for Information Systems  |c 2025 
513 |a Journal Article 
520 3 |a Organizations are increasingly integrating artificial intelligence and machine learning (ML) to drive innovation, optimize processes, and create new revenue streams. However, deploying and managing ML models are complex tasks that pose significant challenges. Despite their importance, there is a notable gap in academia regarding the inclusion of these topics in business analytics or data science curricula. This tutorial aims to bridge this gap by providing a hands-on tutorial for deploying and managing ML models using an open-source platform. The tutorial focuses on tracking and versioning models, converting them into reproducible projects, and deploying and serving them for real-time predictions. It is designed for students and instructors in higher education, offering a step-by-step approach to model deployment and management. The tutorial has been successfully implemented in several graduate-level courses, receiving positive feedback for its practical application and comprehensive coverage of the post-modeling stages of the ML lifecycle. 
653 |a Machine learning 
653 |a Artificial intelligence 
653 |a Real time 
653 |a Open source software 
653 |a Online tutorials 
653 |a Positive feedback 
653 |a Task complexity 
700 1 |a Smith, Tim C 
700 1 |a Berndt, Donald J 
773 0 |t Communications of the Association for Information Systems  |g vol. 56 (2025), p. 1027-1046 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3201453910/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3201453910/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch