Data Quality in AI: Challenges, Importance & Best Practices
Even the most advanced AI algorithms can fail if the underlying data is of low quality. We explain the importance of data quality in AI.| AIMultiple
Even the most advanced AI algorithms can fail if the underlying data is of low quality. We explain the importance of data quality in AI.| AIMultiple
AI models sometimes generate data that seems plausible but is incorrect or misleading; known as AI hallucinations. According to Deloitte, 77% of businesses| AIMultiple
