All the Ops: DevOps, DataOps, MLOps, and AIOps
All the Ops: DevOps, DataOps, MLOps, and AIOps
Mar 14, 2023
ibm.com
18 reactions · 22 shares | MLOps is a set of practices and tools for streamlining the deployment, maintenance, and management of ML models in a production environment. The goal of MLOps is to ensure that models are reliable, secure, and scalable, while also making it easier for data scientists and engineers to develop, test, and deploy ML models. Read more: https://hubs.la/Q02fGY810 #mlops #machinelearningops | Data Science Dojo | Facebook
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18 reactions · 22 shares | MLOps is a set of practices and tools for str…
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Understanding MLOps: A Practical Approach to AI ⤵️ Insights: 👉 Automates and manages the machine learning model lifecycle 👉 Bridges the gap between different teams for smoother operations 👉 Regular updates and monitoring keep models effective 👉 Applies AI models to solve real-world problems across industries Learn how MLOps can be applied to make AI projects more effective and practical ➡️ https://spr.ly/6185dMWjX #MLOps #AI #MachineLearning | MATLAB
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