Ensure data quality: Data quality is critical for accurate machine learning and AI models. Choose a database that supports data integrity constraints, data validation, and data cleansing.

Symbolic AI’s adherents say it more closely follows the logic of biological intelligence because it analyzes symbols, not just data, to arrive at more intuitive, knowledge-based conclusions.

However, the advent of AI, more specifically machine learning (ML) and deep learning, ... such as data preprocessing and anomaly detection, freeing up time for more strategic analysis.