Review of Role of AI in Data Warehousing and Mining

The contemporary era, characterized by an unprecedented surge in data, has magnified the importance of integrating Artificial Intelligence (AI) with data warehousing and mining. This amalgamation not only facilitates efficient data storage and quicker retrieval but also offers sophisticated tools for recognizing intricate patterns within datasets. AI’s capability to harness deep learning and other advanced algorithms in data mining significantly improves predictive accuracy and enables more intelligent data warehousing solutions. However, as promising as this integration seems, it also presents challenges, notably in algorithm interpretability and ensuring robust data security. This review provides a comprehensive exploration of the recent advancements, inherent benefits, and prevailing concerns surrounding AI’s role in data warehousing and mining. Through this examination, the transformative potential of AI in this domain is highlighted, while also emphasizing areas that warrant further research and development.