What are the common challenges faced in AI projects?
Some common challenges include data quality, integration issues, and managing stakeholder expectations.
How can we improve data quality for our AI models?
Improving data quality can involve cleaning the data, ensuring it's representative, and using proper labeling techniques.
What integration issues should we be aware of?
Integration issues often arise from compatibility between systems, data formats, and the need for real-time processing.
How do we manage stakeholder expectations effectively?
Managing expectations involves clear communication, setting realistic timelines, and demonstrating incremental progress.
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