Building Trustworthy AI: Open Source Monitoring in Action
As AI becomes embedded in more and more critical applications, its monitoring remains a blind spot. From data drift and undetected bias to unexpected hallucinations, risks multiply once models are in production. This talk offers a concrete and sovereign approach to AI monitoring, relying on a selection of open source tools such as Evidently, WhyLogs, MLflow, and Truera. Through real-world examples, it will demonstrate how to build a reliable, well-documented monitoring pipeline that complies with the upcoming European AI Act — even for an SME. The goal: to make AI observability both a technical and ethical reflex.
Speaker
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Samuel DesseauxErythixSamuel Desseaux is an independent CTO and founder of Eyes4IT and OpenEdge Labs, specializing in IT/OT supervision, cybersecurity, and applied AI for industrial environments and public institutions. With a strong focus on open source, resilience, and sovereignty, he helps organizations design transparent, secure, and efficient infrastructures — far from the hype and black-box dependencies. As a trainer and advisor, he builds bridges between strategic vision and operational deployment, particularly around monitoring architectures, AI observability, and industrial cybersecurity (NIS2). His approach is hands-on, pragmatic, and designed to empower teams — especially in SMEs and mid-sized industrial organizations.