Note

The Data Science (DS) Boundary in a software system encompasses the integration and application of data science methodologies and machine learning technologies. This boundary is pivotal for analyzing large sets of data to extract meaningful insights, develop predictive models, and implement machine learning algorithms. It involves processes such as data analysis, model training, and predictive analytics. The DS boundary plays a crucial role in enhancing decision-making processes, automating complex tasks, and driving innovation by leveraging data-driven insights. This boundary is essential in turning raw data into actionable intelligence, providing a competitive edge through advanced data capabilities.