Artificial Intelligence

Artificial intelligence & leadership: impact on strategy and innovation

  • Language

    English

  • Duration

    3 days

  • Intake Date

    October 9th, 10th and 11th

  • Location(s)

    Paris (La Défense)

  • Format

    7 hours per day during 3 days

In response to the increasing demand for technically savvy managers brought on by the latest developments in Artificial Intelligence (AI), our short program offers business leaders, managers, and executives a unique opportunity to deepen their understanding of AI and address the managerial challenges associated with its ever-growing prevalence.

Through interactive discussions and networking, participants will explore the opportunities and challenges AI presents across diverse industries.Exposed to proven methods used by leading consulting companies and C-level executives, participants will gain valuable insights into dealing with unstructured problems. By focusing on AI competencies like classification, prediction, and AI-enabled recommendations, participants gain the ability to lead transformative initiatives and make informed decisions that create value and optimize outcomes.

 

This program is designed for a range of professionals, including business leaders, managers, executives, and entrepreneurs, who are interested in exploring the impact of Artificial Intelligence. The minimum work experience required for participation is 5 years.

Harris Kyriakou
Harris Kyriakou

Information Systems, Decision Sciences and Statistics Associate Professor

Academic Director of Leading with AI: Impact on Strategy and Innovation, Holder of the ESSEC Media & Digital Chair, Associate Professor of Information Systems, Decision Sciences & Statistics, Best 40 Under 40 MBA Professors by Poets & Quants.

David Sluss
David Sluss

Professor of Management

Professor of management, Holder of the "Leading a Scale-Up" Chair Professor of Management, Academic Director of the Global MBA.

Lauren Waardenburg
Lauren Waardenburg

Assistant Professor of Information Systems, Decision Sciences & Statistics

Best paper awards from the Academy of Management, - Finalist for the Grigor McClelland doctoral dissertation award, and Outstanding associate editor award from the Academy of Management.

Maciej Workiewicz
Maciej Workiewicz

Associate Professor of Management

Associate Professor of Management at ESSEC, where he teaches strategy, strategic management, and AI courses in the school's Masters in Management, GMBA, and Executive Programs as well as strategy, organization theory, computer simulation, and machine learning in the school's doctoral program.

Presentation by the Academic Director

A Network of Excellence

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2023-02-24 ESSEC CNIT@VincentBlocquaux 2944
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