Even though AI is the new tred and can certainly help in executing better results, there are certain aspects that can’t be sorted by AI and will require expert Data Analysts
AI Hallucinations
AI might 'improvise' when faced with unfamiliar data scenarios
Real-world example: The subtle challenge of interpreting incorrect results without coding expertise
Decoding Business Complexity
There is a stark difference between AI 'learning' and a human analyst's journey in understanding company data
AI models may often grapple with basic questions due to a lack of contextual reasoning
AI in the Fix
Unlike professional Data Analysts AI might face challenges arising from its inability to correct inaccuracies in user inputs
Data Analysts have better reasoning abilities as per the demand of the situation
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