are-your-data-quality-enough-to-support-machine-learning-ai-plans

AI is a priority for governments and businesses worldwide. Poor data quality is a key aspect of AI that has been overlooked. AI algorithms are based on reliable data in order to produce optimal results. However, if the data is incomplete, incorrect, or not sufficient, it can have devastating consequences. Poor data quality can result in adverse outcomes for AI systems that identify patients' diseases. These systems can produce inaccurate diagnoses and predictions, which can lead to misdiagnosis and delayed treatment.