Arthur Vitui
Arthur is a senior data scientist specialist solution architect at Red Hat Canada. With the help of open source software, he is helping organizations develop intelligent application ecosystems and bring them into production using MLOps best practices.
He has over 15 years of experience in the design, development, integration, and testing of large-scale service enablement applications.
Arthur is pursuing his PhD in computer science at Concordia University, and he is a research assistant in the Software Performance Analysis and Reliability (SPEAR) Lab. His research interests are related to AIOps, with a focus on performance and scalability optimization.
Authored Content
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Machine learning is a powerful way to help architects choose the right integrations for the systems they design.
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A Kubernetes-based machine learning model analyzes X-ray images to triage patients at high risk of having pneumonia.
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Architects have the keys and knowledge to unleash the power of data through machine learning. Here are three ways machine learning might make sense for you.