AI for Business

Upcoming Sessions

Location

Singapore

Duration

5 days

Fees

S$ 16,100

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Demystifying Artificial Intelligence in the digital age

Artificial intelligence (AI) is rapidly emerging as the most important and transformative technology of our time. Recent advances in machine learning — a computer’s ability to self-improve its performance — have led to a rapid proliferation of new applications that are changing the game for companies in almost every industry.

These include cutting-edge Large Language Models(LLMs) applications such as ChatGPT, as well as Generative AI applications such as DALL-E2.

Artificial Intelligence implications for businesses, managers, and business strategies

AI can impact businesses and managers in many profound ways:

Substituting human judgement – AI can forecast based on patterns in data that are undetectable by humans
Improving efficiency and productivity to increase revenue for ecommerce players – through machine learning algorithms and predictive analytics models
Autonomous driving – made possible by rapid advances in image recognition using visual machine learning
Customer experience in sectors such as healthcare, finance, retail and travel – through the use of AI-powered chatbots and intelligent voice assistants
Organisational transformation – through internal data analysis of employee engagement, networks and departures
Creative applications – ChatGPT and other generative AI applications like DALL-E2 have begun to erode the barriers between humans and machines when it comes to creativity

Key learning concepts in the programme curriculum

The INSEAD AI for Business Programme demonstrates how companies can thrive in the digital era through strategy, leadership, and innovation. Participants gain a non-technical understanding of AI's diverse applications, from traditional statistics to machine learning, across various business functions.
The course emphasises optimising in-house AI expertise to effectively communicate with data scientists and apply insights to meet business needs. It also addresses AI adoption challenges, including logistical, legal, and ethical considerations, and highlights weaknesses in machine learning-based decision-making. Through discussions and practical applications, participants are equipped to navigate AI's transformative impact on businesses with confidence and agility.
Read more about our curriculum and syllabus

Our Participant Profile

25

Nationalities in each session

5 - 12yrs

of working experience

Designed for:

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

Learn More About Our Participant Profile

How you benefit

Develop a unique end-to-end understanding of AI

From business relevant technical aspects to organisational, strategic and regulatory implications of artificial intelligence

Identify AI enabled business opportunities

Learn how to implement AI projects to gain strategic advantage

Formulate and explore solutions to the AI challenges in your organisation

Extensive exchanges with peers and faculty and real-world use cases by guest speakers in different industries

Understand the ethics of AI

Fairness and biases in machine learning

Learn how to work effectively with data scientists

Know how to build an AI-powered organisation.

What You Will Get

This programme qualifies for the INSEAD Certificate in Global Management.

The certificate is a formal recognition in areas of global management and leadership. Please refer to the certification requirements here.

Programme Directors

View more faculty

Phanish Puranam

Research Director of the INSEAD-Wharton Alliance

The Roland Berger Chaired Professor of Strategy and Organisation Design

Professor of Strategy

Phanish Puranam is a Professor of Strategy, the Roland Berger Chaired Professor of Strategy and Organisation Design at INSEAD. Phanish’s research in organization science focuses on how organizations work, and how we can make them work better. His current work focuses on different ways in which intelligent algorithms relate to organizations, in their roles as tools (e.g., machine learning applied to organizational data), team-mates (e.g., human-AI collaboration), and as templates for organizing ( blockchain, metaverse). Besides publishing his research extensively in peer reviewed journals (see link to Personal Website above), Phanish has also written several books. Corporate Strategy: Tools for analysis and decisions (co-authored with Bart Vanneste, Cambridge University Press, 2016) which is used as a reference in MBA programs around the world. Transforming Your Business with AI programme. Phanish obtained his PhD at the Wharton School of the University of Pennsylvania in 2001, and was on the faculty of London Business School till 2012. Reflecting his commitment to doctoral training, he has served as the Academic Director for the PhD Program at both London Business School and INSEAD.

Phanish Puranam

Professor of Strategy

The Roland Berger Chaired Professor of Strategy and Organisation Design

Research Director of the INSEAD-Wharton Alliance

Theos Evgeniou, professor of Decision Sciences and Technology Management at INSEAD and director of the INSEAD Executive Education Programme, Transforming your Business with AI.

Theodoros Evgeniou

Professor of Technology and Business

Theos Evgeniou has been on the INSEAD faculty since 2001 and director of the INSEAD Executive Education programme, Transforming your Business with AI. He has been working on Machine Learning and AI for almost 30 years, on areas ranging from AI innovations for business process optimization and improving decisions, to AI risks and regulation, as well as on new Machine Learning methods. His research has appeared in leading journals, such as in Science Magazine, Nature Machine Intelligence, Machine Learning, Lancet Digital Health, Journal of Machine Learning Research, Management Science, Marketing Science, Harvard Business Review magazine, and others. Professor Evgeniou has been a member of the OECD Network of Experts on AI, an advisor for the BCG Henderson Institute, a World Economic Forum Academic Partner for AI, and together with three INSEAD alums also a co-founder of Tremau, a B2B SaaS company whose mission is to build a digital world that is safe & beneficial for all. He gives talks and consults for a number of organizations in his areas of expertise. He has received four degrees from MIT, two BSc degrees simultaneously, one in Computer Science and one in Mathematics, as well as a Master and a PhD degree in Computer Science.

Theodoros Evgeniou

Professor of Technology and Business

Ville Satopaa

Associate Professor of Technology and Operations Management

Ville Satopaa is an Associate Professor of Technology and Operations Management at INSEAD. His current research explores different areas of forecasting: judgmental and statistical forecasting, modeling crowdsourced predictions, combining and evaluating different predictions, and information elicitation. It involves developing general theory and methodology but also specific projects that analyse real-world data. In addition to working on forecasting, Ville has experience in applying Bayesian statistics to rank hospitals in terms of disease-specific mortality rates. Before joining INSEAD, Ville received his MA/PhD degrees in Statistics from the Wharton School of the University of Pennsylvania. He also holds a BA in Mathematics and Computer Sciences from Williams College.