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Empower Analysts with Automation, Not Replacement
Automating the role of an analyst can enhance the efficiency of data synthesis and insights delivery without replacing human analysts. Large language models excel in summarization and reasoning, making them valuable tools for analysts dealing with complex data. However, challenges remain in processing numerical or tabular data effectively, indicating a need for fine-tuning and domain expertise. The role of an analyst may vary widely across departments, suggesting that many individuals currently engage in data transformation and presentation tasks, which could be amplified by automation, ultimately serving as an 'Iron Man suit' to support their capabilities.