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A model for leaders to drive AI and big data maturity

Author

Listed:
  • Felippe Eiji Tashiro de Oliveira

    (Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo, São Paulo, SP, Brasil)

  • Eduardo de Rezende Francisco

    (Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo, São Paulo, SP, Brasil)

  • Marco Alexandre Terlizzi

    (Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo, São Paulo, SP, Brasil)

Abstract

Objective: To present a data and Artificial Intelligence (AI) maturity model, identifying barriers, best practices, and action plans to overcome them. State of the art: The literature highlights the need for analytical maturity for organizations to fully benefit from AI. However, there is a lack of a practical approach that connects theoretical models with leadership and effective AI adoption. Methodology: A particular case study was conducted in a multisector holding company, involving twenty-eight semi-structured interviews with executives and managers engaged in data and AI initiatives. Originality: An original, prescriptive, and practice-oriented model was developed, linking analytical maturity with leadership. Impacts: The study contributes to more effective organizational strategies, supported by efficient governance and structured data management. SDG: 8 – Decent work and economic growth; 9 – Industry, innovation, and infrastructure.

Suggested Citation

  • Felippe Eiji Tashiro de Oliveira & Eduardo de Rezende Francisco & Marco Alexandre Terlizzi, 2026. "A model for leaders to drive AI and big data maturity," GV-EXECUTIVO, FGV EAESP, vol. 25(2), pages 98572-98572, May.
    • Handle: RePEc:ekm:gvexec:v:25:y:2026:i:2:id:98572
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