Thibaut Lucas

CEO at Picsellia, End-to-end MLOps platform to build computer vision datasets & models, deploy and monitor models, and automate your ML pipelines.

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Overcoming the Challenges of Deploying Computer Vision Models at Scale

Deploying computer vision models in production is a complex endeavour that requires a holistic approach that encompasses data, models, infrastructure, and processes. By addressing the challenges of data acquisition, model selection, infrastructure, CI/CD, monitoring, and ethical considerations, organizations can successfully deploy computer vision models at scale. Thibaut Lucas, CEO and Co-founder at Picsellia shares his view on both, the business and technical aspects surrounding the challenges of deploying Computer Vision at scale.

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