Humans have nuanced awareness. They draw on their experiences to make inferences and logical decisions. AI models are, however, only as good as their training data. An AI model’s accuracy doesn’t entirely depend on the underlying algorithms’ technical sophistication or the amount of data processed. Instead, accurate AI performance depends on trustworthy, high-quality data during training and analytical performance tests.
