Version 1
: Received: 3 September 2024 / Approved: 5 September 2024 / Online: 5 September 2024 (08:08:49 CEST)
How to cite:
Rosário, A. T.; Boechat, A. C. How Automated Machine Learning Can Boost Business. Preprints2024, 2024090426. https://doi.org/10.20944/preprints202409.0426.v1
Rosário, A. T.; Boechat, A. C. How Automated Machine Learning Can Boost Business. Preprints 2024, 2024090426. https://doi.org/10.20944/preprints202409.0426.v1
Rosário, A. T.; Boechat, A. C. How Automated Machine Learning Can Boost Business. Preprints2024, 2024090426. https://doi.org/10.20944/preprints202409.0426.v1
APA Style
Rosário, A. T., & Boechat, A. C. (2024). How Automated Machine Learning Can Boost Business. Preprints. https://doi.org/10.20944/preprints202409.0426.v1
Chicago/Turabian Style
Rosário, A. T. and Anna Carolina Boechat. 2024 "How Automated Machine Learning Can Boost Business" Preprints. https://doi.org/10.20944/preprints202409.0426.v1
Abstract
Automated Machine Learning (AutoML) is revolutionizing how businesses utilize data, making advanced analytics accessible to a broader range of organizations. By automating complex tasks like data preprocessing, model selection, and hyperparameter tuning, AutoML reduces the time and resources needed to develop and deploy machine learning models. This accelerates decision-making and enables quicker responses to market changes. AutoML empowers businesses to build accurate predictive models using sophisticated algorithms, optimizing model performance for reliable insights and better outcomes. A key advantage of AutoML is its accessibility; even organizations without a dedicated data science team can leverage machine learning, reducing technical barriers and democratizing innovation. As businesses grow, AutoML scales to handle larger datasets and more complex problems without extensive manual intervention. AutoML enhances efficiency, accuracy, and scalability, becoming a crucial driver of business innovation and success. The systematic review will examine the bibliometric literature on how AutoML can boost business, analyzing 74 academic and scientific documents from the Scopus database.
Keywords
automated machine learning; business
Subject
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
