Projects
Projects about
#MLOps
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
Nathan Segers
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.
Jens Krijgsman
Automation & AI researcher, Teamlead
A full-stack researcher with extensive knowledge of both front-end and back-end development as well as software architecture. His profile has led him to handle the automation and integration of AI in various projects, particularly in environments that make use of MLOps, AIOps, and DevOps tools. Jens serves as one of the team leads within the AI lab