Jean-louis Amat
Artificial Intelligence Specialist: Principles and Industrial Implementation
PhD in Artificial Intelligence from IBM France in 1987. Then R&D Engineer within Space/Defense sector groups (applications of AI to computer vision and decision support). Later, founder of AI and Machine Learning startups: supporting numerous companies in the implementation of concrete AI projects, data mining, or neural networks (deep learning). Considerable experience in implementing operational AI projects and the main pitfalls related to the technology: method selection, data and knowledge sources, change management for implementation, etc. Experienced speaker, accustomed to addressing both novice audiences and seasoned industry professionals.
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Implementing Artificial Intelligence on Real Projects
AI is in all the articles today, generating curiosity for companies facing complex issues. But how can we best leverage this new technology, and what is referred to as 'deeptechs'? The purpose of this conference is to help you frame the problem in terms of information processing at first (how to verify the relevance of the approach - do we really need to use AI?), then to understand how AI techniques can intervene (including deep learning), and finally how to implement them practically. There are proven methodologies to frame an industrial problem and organize the intervention of different technological components. The goal will be to provide an operational vision and, if necessary, to customize the intervention according to the sector (experience in telecoms, e-marketing, industry, automotive, defense, banking, and insurance, etc.).