Seminar : Create Added Value Thanks to Machine Learning

The volume of data collected by companies has exploded in recent years, leading to the concept of ‘Big Data’. If properly processed, this data represents a significant wealth of information, with immense potential to help the business improve its decision-making process. However, experience tends to show that, for many companies, exploiting this data remains a real challenge.

This seminar is organised by HEC Liège Executive Education  and the HEC Digital Lab.


  • 09:00 DAY 1 - Overview of fundamental machine learning concepts ▶ Types of machine learning algorithms ▶ Learning processes ▶ Understanding your data
  • 10:45 Algorithms (Implementation/Demonstration) ▶ Prediction/Regression ▶ Classification/Decision Tree ▶ Market Basket/Rules of Association
  • 14:00 Group work (part 1) ▶ Definition & presentation of a problem within your company ▶ Discussion about machine learning solutions
  • 15:30 Best practices for machine learning implementation
  • 17:00 Debrief of day 1
  • 08:45 DAY 2 - Understanding user needs ▶ Analysis of needs ▶ Confrontations with strengths/weaknesses of machine learning
  • 10:45 Data collection ▶ Web scrapping (demonstration) ▶ Data processing
  • 14:00 Group work (Part 2): How to address the defined problem (Part 1) with machine learning? ▶ Which data, methods? ▶ Best practice for implementation? ▶ Expected impact, resistance to change?
  • 15:15 Work presentation
  • 17:00 Conclusions and closing exchanges


  • Ashwin Ittoo

    Ashwin ITTOO

    Professor in Management Information Systems // HEC Liège

Ashwin Ittoo is a full Professor in Management Information Systems at HEC Liège and researcher at the Japan Advanced Institute of Science and Technology. He is a member of the editorial and review boards of several Elsevier journals, and has a strong international corporate background.

For more information about this seminar, visit the HEC Liège Executive Education website.