Transforming Your Business with AI
offered by INSEAD - France

Private University
1 Campus
Estd. 1957

Transforming Your Business with AI
at
INSEAD - France
Overview

Unlocking the power of artificial intelligence in the digital age

Duration	5 weeks
Total fee	₹1.41 Lakh
Mode of learning	Online
Course Level	UG Certificate

Transforming Your Business with AI
at
INSEAD - France
Highlights

Earn a certificate of completion from Insead
Access the full expertise of INSEAD's world-class faculty
Get action learning project for practical exposure
Learn through dynamic and engaging methods, including videos, quizzes and role-plays

Transforming Your Business with AI
at
INSEAD - France
Course details

Who should do this course?

For Senior executives who want to understand how they can make their organisations AI-ready
For Leaders and senior executives seeking the comprehensive perspective
For Senior managers seeking to build their own capabilities in strategy

What are the course deliverables?

Gain solid, jargon-free understanding of AI, Machine Learning and the opportunities for your organisations
Explore how different applications work across functional areas
Master the skills and vocabulary to work effectively with data scientists
Understand the risks and limits of relying blindly on algorithms
Learn how to build AI capabilities for your organisation

More about this course

Artificial intelligence (AI) is empowering significant and rapid change for businesses across almost all sectors and industries
In particular, machine learning -a computer's capacity to improve its performance without human instruction -is driving the development of new applications that can accelerate productivity and competitive edge for companies
This course gives you a deep understanding of how AI is deployed in business, so that you can see what it can (and cannot) do for you and your organisation
The programme equips you with practical frameworks and templates to work with data scientists and programmers, showing you how to commission analysis and analyse the results you receive

Transforming Your Business with AI
at
INSEAD - France
Curriculum

What AI is doing today

Understand what AI is and the AI applications across various sectors.

Bridge technical details to business applications.

Learn the elements of a prediction machine, evaluate the accuracy of it and distinguish correlation from causation

Building AI capabilities in an organisation

Manage the implementation of AI and Machine Learning based projects

Understand the differences between these projects and other business or IT projects

Hear from a leading industry expert to discuss how to identify and execute successful AI - enabled business opportunities

Implementing AI with external experts

Examine the ground rules for formulating a business question as ''AI solvable''.

Discuss how outsourcing AI development has gone through major innovations via ''gamification''.

Learn different ways to build ''teams of models'-for machines to work well together

Deep learning and causal thinking

Compare two approaches of machine learning - correlation and causation, discuss important tools for each and develop frameworks for when to use each

Explore limitations of all AI techniques today - the risk of ''hidden variables'', and understand why we need prototyping

The Future of Organisations and Algorithms

Touch on a number of broader themes that go beyond the technical details and specific applications

Develop a point of view on the challenges and risks, both logistical and ethical, that the advancement of AI poses

Understand the issues around privacy and ethicality (fairness) and the implications for organisation designs

Transforming Your Business with AI
at
INSEAD - France
Faculty details

Phanish Puranam, 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 organizational science focuses on how organizations work, and how we can make them work better. His current interests include non-hierarchical organizations, the design of informal organization, and organizational architectures that support self-assembling teams.

Theodoros Evgeniou

Professor Evgeniou has been working on Machine Learning and AI for more than 20 years, in areas ranging from Computer Vision, to Marketing, Healthcare, and Finance, among others. His interests focus on the broader topic of AI, business and society, working on areas ranging from AI and regulation to AI innovations for business process optimization and improving decisions as well as on new Machine Learning methods.