What are the main challenges of integrating AI into existing systems?
Some key challenges include data quality, system compatibility, and user acceptance.
Can you elaborate on data quality issues?
Sure! Poor data quality can lead to inaccurate AI predictions and decisions, affecting overall performance.
What about system compatibility?
Integrating AI often requires existing systems to be updated or modified, which can be complex and costly.
How can organizations overcome these challenges?
Organizations can invest in training, conduct thorough testing, and ensure clear communication with stakeholders.
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