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    AI for Business
    INSEAD

    AI for Business

    INSEAD, Fontainebleau
    5 daysDuration
    in-personFormat
    EnglishLanguage
    Digital TransformationTopic

    Available Cohorts

    Choose your preferred start date

    Sep 14 - Sep 18, 2026
    5 days · in-person · Instructor-Led · Fontainebleau Campus
    Open
    Nov 23 - Nov 27, 2026
    5 days · in-person · Instructor-Led · Singapore Campus
    Open
    Apr 19 - Apr 23, 2027
    5 days · in-person · Instructor-Led · Fontainebleau Campus
    Open
    $12,609

    All-inclusive program fee

    About This Program

    AI for Business uses video case studies, cutting-edge technologies and vibrant debate to illustrate how established companies can use strategy, leadership and innovation to adapt to digital transformation.

    Why INSEAD?

    INSEAD built its identity on a single, stubbornly held conviction: that business is inherently global, and that any leadership education which ignores that fact is incomplete. With campuses on three continents and a faculty drawn from over 40 nationalities, it is the rare institution where that claim is structural rather than aspirational — and nowhere is that more visible than in its executive education offerings, where cohorts routinely reflect 50 or more nationalities in a single room.

    Your Profile

    • Senior executives who want to understand how they can make their organisations AI-ready
    • Leaders and senior executives seeking the comprehensive perspective they need to lead in a digital world, with a focus on the strategic, organisational and innovation implications of AI and data technologies
    • Senior managers seeking to build their own capabilities in strategy, leadership and innovation, while developing personalised, actionable plans

    Benefits

    • From business relevant technical aspects to organisational, strategic and regulatory implications of artificial intelligence
    • Learn how to implement AI projects to gain strategic advantage
    • Extensive exchanges with peers and and real-world use cases by guest speakers in different industries
    • Fairness and biases in machine learning
    • Know how to build an AI-powered organisation.

    What You'll Learn

    • What can AI do for your industry - Participants will be given a thorough, non-technical introduction to different kinds of AI. Topics covered include:, From perception (traditional statistics) to prediction (machine learning), The key idea: How machines (algorithms) learn from experience (data), Don’t let your data take you hostage: Avoiding over-fitting, Prediction errors: Which mistake is more painful?, Applications across functional areas (marketing, finance, operations and HR organisational development), Using AI to create: LLM’s, ChatGPT and generative AI, The strategic disruption that AI is bringing to various industries
    • Getting the most out of your in-house AI experts - Equip yourself with the skills to engage in a rigorous conversation with data scientists, be it your direct reports, or from a centralised pool of talent, Improve your ability to communicate business needs and apply the insights generated.
    • Next practice: AI Adoption, Governance and Risks - If you have any questions related to our or procedures, we are here to help you., Discuss some of the logistical, legal and ethical challenges associated with deploying AI in management, Discover some of the core weaknesses of machine learning-based decision-making (e.g., using past data to derive insights for future use), Learn how to conduct randomisation-based pilot testing, also known as A B testing or randomised control trials (RCT) – essential before committing to major changes in management practices., Study innovative applications that use machine intelligence either directly or indirectly, such as using computer models to forecast how a management intervention will unfold

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

    2. 2

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    3. 3

      Contact the school

      Send a message directly to INSEAD via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through INSEAD's official application portal.

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