MLOps vs. Traditional DevOps: What's the Difference?

In today’s fast-paced tech world, it’s essential to understand the difference between MLOps and Traditional DevOps. While both aim to streamline and automate workflows, their focus and processes vary significantly.

🧠 MLOps is all about the lifecycle of machine learning models—from data collection and training to deployment and monitoring. It emphasizes continuous learning and model management.

⚙️ DevOps, on the other hand, focuses on automating software development and IT operations, ensuring consistent code delivery and application deployment.

Swipe through this infographic to see how MLOps and DevOps differ in their processes, tools, and challenges. 🔄

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