Automation tools like managed workflows (e.g., AWS Step Functions, Azure Logic Apps) and auto-scaling capabilities help data scientists understand how to automate repetitive tasks. This is a key upskilling area that helps them think like ML engineers focused on robust, scalable systems.
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