Citation:
David Liu, Syed Ali Fathima, "Predictive Analytics in Business Automation: Leveraging RPA and AI to Optimize DecisionMaking" International Journal of Multidisciplinary on Science and Management, pp. 37-45, 2024.
Abstract:
Predictive analytics, in conjunction with Robotic Process Automation (RPA) and Artificial Intelligence (AI), has emerged as a transformative force in business automation. This paper explores how these technologies synergize to enhance decision-making processes, streamline operations, and optimize business performance. By leveraging historical data, predictive models can forecast trends, identify risks, and uncover opportunities, enabling proactive strategic planning. The integration of RPA automates repetitive tasks, while AI adds cognitive capabilities, making business processes more intelligent and adaptive. This research delves into the methodologies, applications, and potential challenges of implementing predictive analytics within automated business environments, providing insights into future trends and best practices.
Keywords:
Predictive Analytics, Business Automation, Robotic Process Automation (Rpa), Artificial Intelligence (Ai), Decision-Making, Data-Driven Strategies, Process Optimization.
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6B New Colony, Edamalaipatti Pudur, Tiruchirappalli.
IJMSM
International Journal of Multidisciplinary on Science and Management [IJMSM] is a scholarly double-blind peer-reviewed journal published by Golden Sun-Rise.
2024 © Golden Sun-Rise.