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AI has made incredible advancements in recent years, but it still relies on human expertise to generate reliable results. Data pre-processing, predictive analytics, and performance analytics are three areas where human oversight is essential for successful AI. Data pre-processing involves removing duplicates and correcting for irregularities, anomalies, and other outliers that could skew the results produced. Predictive analytics algorithms crawl through data and generate hypotheses about the future, but they need to be supervised by humans to ensure accuracy. Performance analytics can help spot trends and patterns in data, but humans are needed to interpret the results and make decisions.
