AI can lead to significant harm if not fed with good data as models can go wrong, hallucinate, drift, and collapse. Data quality is crucial and often overlooked by companies.
Companies should focus on understanding the specific problem they aim to solve, ensuring data accuracy, and assigning data quality responsibility short term while integrating quality efforts throughout.
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