AI vs Data Analysts: Limitations

Limitation #1 - AI Hallucinations

Most AI unlike Data Analysts tools may generate incorrect information for unfamiliar questions

AI operates like advanced autocomplete algorithms, relying on training data

Limitation #2 - Business Information

Data analysts are essential to understand data context designed by the business

AI tools can use this information, but humans are needed for maintenance

Limitation #3 - Blind Spots

AI unlike Data Analysts with basic questions and complex reasoning tasks, known as "blind spots

For example, it might generate SQL queries with errors, even when mistakes are pointed out

Limitation #5 - Input Length

AI models unlike Data Analysts have a limit on the length of input they can process, known as the "token limit

This limit restricts the capacity to handle complex tasks that require a substantial amount of information

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