CASE STUDY
An in-depth description of a firm’s approach to an IT management issue (intended for MBA and executive education)
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An in-depth description of a firm’s approach to an IT management issue (intended for MBA and executive education)
Headquartered near Monterrey, Mexico, in 2023 Cemex, S.A.B. de C.V. (Cemex) was a $15.6 billion global construction materials that employed 43,000 people and managed a global supply chain with distribution networks in more than fifty countries. In 2014, Fernando González became CEO and introduced a strategic imperative to deliver superior customer service, resulting in Cemex Go, the first end-to-end digital platform in the construction materials industry. As Cemex established its digital capabilities, the company increasingly built and relied on AI to fuel automated, intelligent business processes. By 2023, the company had incorporated into Cemex Go a collection of interrelated artificial intelligence (AI) models that fueled core components of the order-to-fulfillment process. This working paper describes Cemex’s journey to managing AI at Scale, defined as the organizational ability to sustain large numbers of interdependent, production AI models over time. The working paper features the key activities that facilitated the company’s AI at Scale progress.
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This case study was prepared by Ida A. Someh, Senior Lecturer in Business Information Systems, University of Queensland; Barbara H. Wixom, Principal Research Scientist, the MIT Center for Information Systems Research (CISR); Cynthia M. Beath, Professor Emerita, University of Texas; and Robert W. Gregory, Associate Professor of Business Technology, University of Miami Herbert Business School. The case was written for the purpose of class discussion rather than to illustrate effective or ineffective handling of managerial situations. The authors would like to acknowledge and thank the executives at Cemex for their participation in this case study.
© 2024 MIT Center for Information Systems Research. All rights reserved to the authors.
Founded in 1974 and grounded in MIT's tradition of combining academic knowledge and practical purpose, MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.
MIT CISR wishes to thank all of our associate members for their support and contributions.
MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We provide insights on how organizations effectively realize value from approaches such as digital business transformation, data monetization, business ecosystems, and the digital workplace. Founded in 1974 and grounded in MIT’s tradition of combining academic knowledge and practical purpose, we work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.