Abstract :
Abstract This paper explores the intersection of machine learning (ML), big data analytics, and Agile project management in the realm of business operations. Specifically, it investigates the role of the Scrum Master in orchestrating ML and big data projects within Agile frameworks. Drawing from theoretical insights and practical experiences, the paper delineates key strategies and best practices employed by Scrum Masters to navigate the complexities of ML and big data initiatives, foster collaboration among cross-functional teams, and drive project success. By elucidating the Scrum Master's approach to Agile project management in the context of ML and big data, this paper aims to provide actionable guidance for organizations seeking to leverage data-driven technologies to gain competitive advantage and achieve strategic objectives.
Keyword :
Keywords: Machine Learning, Big Data Analytics, Scrum Master, Agile Project Management, Business Operations, Collaboration, Project Success