What are the main challenges of using AI in data analysis?
An example of an AI chatbot conversation about challenges of AI in data analysis.
What are the main challenges of using AI in data analysis?
Some key challenges include data quality, interpretability, and integration with existing systems.
Can you elaborate on data quality issues?
Sure! Data quality issues can arise from incomplete, inconsistent, or outdated data, which can lead to inaccurate insights.
How does interpretability affect AI models?
Interpretability is crucial because stakeholders need to understand how AI models make decisions to trust their outputs.
What about the integration with existing systems?
Integrating AI with existing systems can be complex due to compatibility issues and the need for significant infrastructure changes.
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