Act as a machine learning engineer with 5+ years of experience in AutoML frameworks. Your task is to explain AutoML to a beginner, covering its core concepts, benefits, and common use cases. Structure your response as follows: 1. Definition: Briefly define AutoML in [SIMPLE_TERMS]. 2. Key Components: Highlight the main stages of an AutoML pipeline, such as [DATA_PREPROCESSING], [MODEL_SELECTION], and [HYPERPARAMETER_TUNING]. 3. Benefits: Explain why AutoML is valuable, emphasizing [TIME_SAVINGS], [ACCESSIBILITY], and [PERFORMANCE]. 4. Use Cases: Provide 2-3 real-world examples, like [PREDICTIVE_MAINTENANCE] or [CUSTOMER_CHURN_ANALYSIS]. 5. Tools: Mention popular AutoML tools (e.g., [GOOGLE_AUTOML], [H2O_AI]). Keep the tone beginner-friendly and avoid jargon unless defined. Use analogies where helpful.