Digital Transformation: the world beyond AI

The aim of this course is to show the changes brought by the digitalisation of business activities. The massive arrival of AI will have a disruptive and multiplier effect. The class will analyse these two phenomena using examples.

We are going to analyse the different types of digital transformation and see how they impact the different business sectors. We're going to integrate the paradigm shift brought about by the arrival of generative AI to try and imagine the future of the different businesses. To understand digital transformation, we will use a framework built around the following variables: Customer, Data, Innovation Platforms, Follow up.

Structure of the course :

What is digital transformation ?

A brief history of the Internet

AI : what it is and how to take profit of it – How to use ChatGPT efficiently (a method will be given)

Transformation

Coverage

Examples

Beginning to define the value proposition

dStrategies for adaptation

How to identify needs and prepare a transformation plan

A framework for transformation : a. Customer b. Data c. Innovation d. Platforms e. Strategic models and. KPIS

How to organise and follow up a transformation project

What you need to know about technology

how to organise change management

D.L. Rogers, The Digital Transformation Playbook, Columbia Business School, 2016

D.L. Rogers, The Digital Transformation Roadmap, Columbia Business School, 2023

J. Knapp, Sprint : how to solve big problems and test new ideas in just five days, Simon&Schuster, 2016

T. Saldanha, Why Digital Transformations Fail: The Surprising Disciplines of How to Take Off and Stay Ahead, Berrett-Koehler Publishers, 2019

The impact ou AI on jobs : https://cepr.org/voxeu/columns/impact-artificial-intelligence-growth-and-employment

International Labour Organization report : Generative AI and Jobs: A global analysis of potential effects on job quantity and quality : https://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_890761.pdf

At the end of the course, students should be able to understand all the dimensions of digital transformation, and identify the needs and gaps in current transformations. They will be able to identify the different types of transformation and have a global view of the technologies used today.

They should be able to understand the impact of AI on their own future.

Students will work in small groups (3 people, 4 maximum) on a topic proposed in the first session. During the course, they will have moments dedicated to this work through questions that they will have to answer. These questions will be presented during the course and will be closely linked to the subjects covered during the course.

The last session will be dedicated to the presentation of the results by the different groups. (power point support + oral presentation, 15 to 20 min).

Classe attendance, presentation of the chosen use case and in-class activity and involvement in the use case.