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In the context of developing a machine learning pipeline for a financial services company, which of the following best describes the key advantages of incorporating automation into data preparation and processing systems? The solution must adhere to strict compliance standards, minimize operational costs, and ensure scalability to handle increasing data volumes. Choose the two most significant advantages.
A
Enhancing data diversity by integrating unstructured data sources without preprocessing
B
Introducing complex data collection methodologies that require specialized knowledge
C
Increasing the reliance on manual data validation to ensure accuracy
D
Reducing errors and inconsistencies through standardized automated workflows
E
Speeding up data processing times to meet real-time analysis requirements