The Role of Machine Learning Algorithms in Business Intelligence: Transforming Data into Strategic Insights

Abstract

This paper can conclude that optimizing machine learning workflow in SnowflakeDB has several benefits in integrating data management with machine learning facilities, including increased efficiency and the possibility of further extension. However, some pitfalls can concern the organizations: a) limitations in machine learning capabilities up to deep learning and b) SQL-based approach, which provides the advantages but requires SQL- database-based solution implementation. SnowflakeDB must evolve to enhance its service capabilities to address the increasing need for more complex analytics, especially for deep learning purposes. If managed to overcome these limitations and bring its offered capabilities in line with the users’ requirements, Snowflake has great potential to strengthen its market position as a cloud-based machine learning provider, furthering the advancement of innovative technological solutions for a vast range of industries in making more effective data-driven decisions.