AI Essentials

Create value with artificial intelligence


Montreal continues to develop as a hub for artificial intelligence research labs and incubators as managers seek to demystify how AI technology will change the way they do business.

This practical workshop spells out why AI can have such an important impact on your operations, strategies, employees, customers, and markets. Moreover, hands-on learning, success stories, and take-away tools will help you make well-informed decisions about how to improve your organization through AI.

Key Benefits and Takeaways

  • Demystify AI technologies – distinguish what is hype and what is real
  • Review real-life examples of AI integration creating competitive advantages
  • Build a business case that introduces AI, based on your needs and your particular context
  • Examine infrastructural and organizational changes required to make AI initiatives successful
  • Understand how AI readiness calls for changes in processes, capabilities, and culture
  • Learn tangible ways to implement AI integration and pitfalls to avoid

This program is designed for managers, executives, and strategists seeking to understand the implications of AI and the opportunities it represents for growth and efficiency. It is also valuable in helping team leaders, HR, and talent managers prepare for changes in workflow processes, technical capabilities, management, and culture to successfully adopt AI.

The registration fee includes facilitation by our highly rated faculty members, course materials, results-oriented exercises, meal service (breakfast, lunch and breaks)*, and a certificate of completion from the McGill Executive Institute.

*Meal service is included for in-person programs only.

Topics covered in this course

  • Explore what it was, what it is, and what it can and can’t do
  • Rise of deep learning and neural networks
  • Areas where AI can create value
  • New generation of AI technology systems and applications
  • Prediction and classification
  • Social informatics and behavioural modelling
  • AI success stories – how it has helped organizations across sectors
  • Implement AI across the value chain
  • Competitive advantages and challenges
  • What problems can AI help solve for your business?
  • Impact on your operations, processes, employees, customers, and offerings
  • Forecasting, sourcing, optimizing, automating, and enhancing user experiences
  • When is the right time to incorporate AI?
  • Key elements of successful AI transformations
  • AI readiness – changes to your processes, capabilities, and culture
  • Maximize positive impact and mitigate risk of failure
  • Build AI capacity – tools, consultants, internal teams
  • Project scoping and infrastructure

Course Leaders

headshot of Alex Boussetta

Alex Boussetta


Alex Boussetta

Alex Boussetta is an Affiliate Member at McGill’s Desautels Faculty of Management, where he has been teaching quality management and operational excellence since 2003. In addition, he consults with a wide variety of organizations on improving internal processes, implementing project management practices, turnaround initiatives and continuous improvement deployments. In addition to academics, Alex is a seasoned practitioner with roles as Manager of the Six Sigma Competency Center at Bombardier Aerospace, Corporate Director of Lean at MAAX, and most recently Director, Global Supply Chain and Devices Quality at Blackberry. Alex holds a Masters in Engineering Project Management.

headshot of Jui Ramaprasad

Jui Ramaprasad


Jui Ramaprasad

Jui Ramaprasad is a tenured faculty member of the Desautels Faculty of Management at McGill University. She obtained her doctorate in Management, Information Systems from the Paul Merage School of Business at the University of California, Irvine. She holds a B.S. from the University of Southern California. Her research examines the impact of IT-enabled social interactions on behaviour and outcomes in two main domains: music and dating, two industries that have been transformed significantly by information technology.