Authors: Mohsen Attaran; Promita Deb
Addresses: School of Business and Public Administration, California State University, Bakersfield, 9001 Stockdale Highway, Bakersfield, California 93311-1099, USA ' School of Business and Public Administration, California State University, Bakersfield, 9001 Stockdale Highway, Bakersfield, California 93311-1099, USA
Abstract: While machine learning (ML) has existed for a long time, the business world's focus on it may seem like an overnight development. The technology has been steadily growing since the early days of big data. However, the ability to give machines access to big data and allow them to apply complex mathematical calculations repetitively, while learning for themselves, is a new development. The key objective of this article is to propose a conceptual model for successful implementation of ML in organisations. This article also covers some of the potential benefits of ML, and provides a guide to some of the opportunities that are available for using ML in various businesses. Furthermore, this study reviews key attributes of successful ML platforms and illustrates how to overcome some of the key implementation challenges. Finally, this study highlights some of the successful implementations of ML solutions used in the manufacturing and service industry.
Keywords: big data; data mining; business intelligence; BI; machine learning; ML; export systems; neural networks; fuzzy logic; natural language processing; NLP; supervised learning; unsupervised learning; reinforcement learning.
International Journal of Knowledge Engineering and Data Mining, 2018 Vol.5 No.4, pp.277 - 305
Available online: 24 Sep 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article