What are the main challenges in AI integration?
The main challenges include data quality, system compatibility, and user acceptance.
Can you elaborate on data quality issues?
Sure! Data quality issues can arise from incomplete, inconsistent, or outdated data, which can hinder AI performance.
How does system compatibility affect AI integration?
System compatibility is crucial because AI solutions must work seamlessly with existing software and hardware.
What strategies can help overcome these challenges?
Strategies include thorough testing, stakeholder engagement, and continuous training for users.
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