AILab Howest

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Projects about
#MLOps

TETRA: Versnellen van AI Implementaties

TETRA: Versnellen van AI Implementaties

SMEs struggle to navigate AI for energy efficiency despite its potential. This project bridges the gap between research and business, empowering SMEs to make informed choices about integrating AI tools for a smoother digital transition.

People that talk about
#MLOps

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Nathan Segers

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Lecturer XR and MLOps

Combining AI and XR research with teaching at Howest MCT, offers Nathan the best options of both worlds. Doing innovative research in MLOps and quickly delivering it to the students is a great combination. His specialities include Lifelong learning, MLOps, Mixed Reality, Full Stack Web Development, Docker & Kubernetes and DevOps.

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Jens Krijgsman

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Automation researcher

A full-stack researcher with a strong grasp of both front-end and back-end development. A passionate automation enthusiast and love working in environments that use MLOps, AIOps, and DevOps tools. This passion is driven by their love of learning new things, making sure they always know the latest advancements in the IT world.