February 22-24, 2023
Montreal, Canada
What will go wrong with your AI models
We all know that developing and training an artificial intelligence model is quite the challenge in itself, but when it comes to actually deploying it within a company, it seems to open the door to a whole new set of problems.
In this conference, Alexis Fortin-Côté wishes to demystify the different scenarios and obstacles that can be encountered when putting an AI model to use in specific contexts.
In this conference, Alexis Fortin-Côté wishes to demystify the different scenarios and obstacles that can be encountered when putting an AI model to use in specific contexts.
Alexis Fortin-Côté
Vooban
Alexis Fortin-Côté, an artificial intelligence scientist at Vooban develops comprehensive AI solutions to optimize processes and put data to work for our clients.
A seasoned post-doctoral researcher, Alexis has expert knowledge in the field of robotics, artificial intelligence and data processing.
Alexis is skilled in data acquisition and processing, data analysis, machine learning, embedded systems and engineering. Engineer, Ph.D. in robotics from Université Laval.
