Automated Machine Learning (AutoML): an overview of opportunities for application and research

ABSTRACT

The wider adoption of AI and machine learning (ML) applications has been limited by the high costs of infrastructure and scarcity of ML experts and data scientists. To address some of these concerns, automated ML (AutoML) systems have been developed alongside cloud computing platforms to mitigate some of the constraints in the wider adoption of ML technologies, including by small and medium size organizations. In this paper, we introduce AutoML, identify some of the fundamental steps in model development, and currently available operationalizations of these systems, before concluding with an outline of potential research opportunities for IS researchers in the field.

KEYWORDS:

• Automated machine learning
• AutoML
• machine learning
• ML
• Artificial Intelligence
• AI
• predictive models

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

¹ https://www.h2o.ai/products/h2o-driverless-ai/

Additional information

Notes on contributors

Vivek Kumar Singh

Vivek Kumar Singh is an Assistant Professor of Information Systems and Technology in College of Business Administration at the University of Missouri – St. Louis. He received his Ph.D. from the University of South Florida, Tampa, USA. His research focuses on applications of data mining techniques in cloud computing, healthcare analytics, and online learning. He has published articles in Computers in Human Behavior, Journal of the American Medical Informatics Association, Psychology and Marketing, and Psychological Studies, and in Information Systems conference outlets including ICIS, AMCIS, and HICSS.

Kailash Joshi

Kailash Joshi is a professor of MIS at the University of Missouri, St. Louis. He received PhD in management information systems from Indiana University in 1986. Prior to joining academics, he worked in industry in the areas of purchasing, materials, production planning, and systems for nine years. He also serves as Associate Editor for the Journal of Information Technology Case and Application Research. His papers have appeared in MIS Quarterly, Information Systems Journal, Decision Sciences, IEEE Engineering Management, Information and Management, OMEGA: The International Journal of Management Science, Data Base, Journal of Information Technology Management, Journal of Data Warehousing, Journal of Purchasing and Material Management, and Production and Inventory Management Journal.