IDEAS home Printed from https://ideas.repec.org/a/aza/airwa0/y2022v1i3p247-255.html
   My bibliography  Save this article

Ethical AI/ML at Nestlé: From vision to strategy to execution

Author

Listed:
  • Pinart, Carolina

    (Address: Carrer de Clara Campoamor, Spain)

  • Mora, Enrigue

    (Address: Carrer de Clara Campoamor, Spain)

Abstract

Artificial intelligence (AI) will reshape the source of value creation for consumer packaged goods companies, the creation of new business models and the delivery of value-added services such as customisation at scale. This paper outlines the vision of consumer packaged goods company Nestlé about AI and machine learning (ML), provides an overview of the company’s strategy to leverage this technology, and describes the three fundamental pillars to execute on that strategy, that is, to deploy AI at scale: AI/ML as a toolbox to solve business problems, ethical by design AI and a flexible operating model. The paper also provides examples of how Nestlé is leveraging its operating model to scale up and explore high-value use cases, depending on their maturity. For mature use cases, we typically adopt out-of-the-box models, fine-tuned or not to our specific problem, while in the emerging use cases we must conduct proofs of concept to test whether the use case is feasible and to what extent the solution can be industrialised in a near future.

Suggested Citation

  • Pinart, Carolina & Mora, Enrigue, 2022. "Ethical AI/ML at Nestlé: From vision to strategy to execution," Journal of AI, Robotics & Workplace Automation, Henry Stewart Publications, vol. 1(3), pages 247-255, March.
    • Handle: RePEc:aza:airwa0:y:2022:v:1:i:3:p:247-255
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/6989/download/
    Download Restriction: Requires a paid subscription for full access.
    File URL: https://hstalks.com/article/6989/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    strategy; execution; ethics; artificial intelligence; machine learning;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • G2 - Financial Economics - - Financial Institutions and Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aza:airwa0:y:2022:v:1:i:3:p:247-255. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Henry Stewart Talks (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.