InfoQ Homepage MLOps Content on InfoQ
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Kubeflow, the Machine Learning Toolkit for Kubernetes, Has Been Accepted as CNCF Incubation Project
The Cloud Native Computing Foundations (CNCF) has recently announced that Kubeflow, the toolkit to deploy machine learning (ML) workflow onto Kubernetes, was accepted as a CNCF incubating project after the vote of the Technical Oversight Committee (TOC).
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Feature Engineering at AirBnb Using Chronon
To increase productivity and scalability when creating new features to use in machine learning models, AirBnb has built Chronon, a solution to create the infrastructure required to turn raw data into features for training and inference.
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EU AI Act: the Regulatory Framework on the Usage of Machine Learning in the European Union
After the first publication of the proposal on the operation of machine learning applications in 2021, on June 14th negotiations have started for the realization of the legislation in the EU Council. The EU countries are expected to reach an agreement by the end of 2023. The EU Act takes a risk-based approach and plans to avoid disproportionate prescriptions when executing the regulations.
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Strategies and Principles to Scale and Evolve MLOps - at QCon London
At the QCon London conference, Hien Luu, senior engineering manager for the Machine Learning Platform at DoorDash, discussed strategies and principles for scaling and evolving MLOps. With 85% of ML projects failing, understanding MLOps at an engineering level is crucial. Luu shared three core principles: "Dream Big, Start Small," "1% Better Every Day," and "Customer Obsession."