Moreover, AI is not completely dependent on data but rather an algorithm; human talent and hardware also play equally important roles in result generation.
The data used to generate output from AI is always flawed; rather, it is loaded with shortcomings like scarcity, unbalanced, unstructured and low-quality information. However, the accuracy is exhibited through data processing, problem formulation, synthetic data, targeted sampling and building limitations into models. Moreover, AI is not completely dependent on data but rather an algorithm; human talent and hardware also play equally important roles in result generation.