What are the challenges in measuring AI ROI?
Measuring AI ROI can be complex due to factors like data quality, integration issues, and long-term impact assessment.
Can you elaborate on the data quality issues?
Sure! Poor data quality can lead to inaccurate predictions and insights, making it hard to assess the true value of AI.
What about integration issues?
Integration issues arise when AI systems don't seamlessly work with existing processes, leading to inefficiencies and lost value.
How can organizations overcome these challenges?
Organizations can invest in data governance, ensure proper training, and adopt a phased approach to AI implementation.
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