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Managing AI Scale: Identifying Approaches that Work

Data, AI, and Analytics; Data Monetization

MIT CISR’s data research team has been tracking the journeys of fifty-two AI projects since 2019. These journeys have helped the team identify two distinct patterns of AI model growth: scale up (i.e., increase in volume of core model use) and scale out (i.e., increase in number of recontextualized models). We have observed, however, that many of the AI initiatives are not scaling as desired. Likely, there are new managerial practices that leaders need to draw on to advance each AI scale dimension more effectively. In 2022, we will examine AI projects that report scale success and create practical insights to inform successful AI scaling. We will ask questions such as:

  • How do companies successfully manage the processes of AI scale up and scale out?
  • What is the impact of scaling AI on data-driven value creation and capture

Methods: Interviews with a subset of the fifty-two AI projects from our 2019 sample and a case study or vignette of one or two AI projects that demonstrate effective AI scaling practices

Seeking: Companies that believe they are successfully scaling AI—both up and out

Contact: Ida A. Someh


Ida A. Someh, Senior Lecturer in Business Information Systems

Ida is a senior lecturer at the UQ Business School, The University of Queensland, Australia. Her research focuses on organizational and societal impact of data, analytics, and artificial intelligence. 

Barbara H. Wixom, Principal Research Scientist

Barbara’s academic research explores how organizations generate business value from data assets. Barbara enjoys deep expertise in data and analytics techniques and technologies, with particular interest in data and analytics strategy, capabilities, and success.

Robert W. Gregory, Associate Professor of Business Technology

Robert is Associate Professor of Business Technology at University of Miami Herbert Business School. Robert's research program focuses on novel management and information systems phenomena related to the diffusion and innovation with digital technologies and the associated transformation of individuals, organizations, and markets. 

Related publications

MIT CISR research is funded by the more than seventy-five firms that sponsor our work and participate in our consortium. 

MIT CISR Patrons
Axway, Inc.
Pegasystems Inc.
Standard Bank Group (South Africa)
The Ogilvy Group
MIT CISR Sponsors
Allstate Insurance Company
ANZ Banking Group (Australia)
Banco Bradesco S.A. (Brazil)
Banco do Brasil S.A.
Bank of Queensland (Australia)
BlueScope Steel (Australia)
BNP Paribas (France)
Bristol-Myers Squibb
Bupa (Australia)
Cabot Corporation
Caterpillar, Inc.
CEMEX (Mexico)
Charles River Laboratories, Inc.
CIBC (Canada)
Cochlear Limited (Australia)
Commonwealth Superannuation Corp. (Australia)
Cuscal Limited (Australia)
CVS Health
DBS Bank Ltd. (Singapore)
Doosan Corporation (Korea)
Fidelity Investments
Fomento Economico Mexicano, S.A.B., de C.V.
Fortum (Finland)
General Mills, Inc.
Gilbane Building Co.
Henkel AG & Co. (Germany)
Johnson & Johnson (J&J)
Kaiser Permanente
King & Wood Mallesons (Australia)
Koç Holding (Turkey)
Nasdaq, Inc.
National Australia Bank Ltd.
Nomura Holdings, Inc. (Japan)
Nomura Research Institute, Ltd. Systems Consulting Division (Japan)
Pacific Life Insurance Company
Pioneer Natural Resources USA Inc.
Posten Norge AS (Norway)
Principal Financial Group
Procter & Gamble
Ramsay Health Care (Australia)
Raytheon Technologies
Reserve Bank of Australia
SC Global Tubular Solutions
Scentre Group Limited (Australia)
Schneider Electric Industries SAS (France)
State Street Corp.
Stockland (Australia)
Suncorp Group (Australia)
Tetra Pak (Sweden)
Trinity Health
Truist Financial Corporation
UniSuper Management Pty Ltd (Australia)
Webster Bank, N.A.
Westpac Banking Corporation (Australia)
WestRock Company
Wolters Kluwer
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