What are some common pitfalls for SMEs when using AI?
Some common pitfalls include lack of clear strategy, insufficient data quality, and underestimating resource needs.
Can you elaborate on the lack of clear strategy?
Certainly! Without a clear strategy, SMEs may implement AI solutions that don't align with their business goals, leading to wasted resources.
What about data quality? Why is it important?
Data quality is crucial because AI systems rely on accurate data to make decisions. Poor data can lead to incorrect insights.
How can SMEs avoid these pitfalls?
SMEs can avoid these pitfalls by developing a clear AI strategy, investing in data management, and ensuring proper training for staff.
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