Generative AI for Robotic Process Automation: Automating Complex Business Processes with GPU-Powered Reinforcement Learning and Business Analytics

EasyChair Preprint 14387

Abstract

In the rapidly evolving landscape of business operations, the integration of advanced technologies is essential for maintaining competitive advantage. This paper explores the transformative potential of Generative Artificial Intelligence (AI) in Robotic Process Automation (RPA), focusing on the automation of complex business processes. Leveraging GPU-powered Reinforcement Learning (RL) and Business Analytics, the study delves into how generative AI models can be utilized to design, optimize, and execute sophisticated workflows with minimal human intervention. By harnessing the computational power of GPUs, the proposed approach significantly accelerates the training and deployment of RL models, enabling real-time decision-making and process adaptability. The integration of business analytics allows for the continuous refinement of AI-driven processes, ensuring alignment with dynamic business goals and regulatory requirements. This research highlights the implications of generative AI and GPU-accelerated RL in automating intricate business processes, ultimately driving operational efficiency, reducing costs, and enhancing decision-making accuracy across various industries. The findings underscore the strategic importance of adopting these advanced technologies to navigate the complexities of modern business environments.

Keyphrases: Business Analytics, Business Processes, Robotic Process Automation

@booklet{EasyChair:14387,
  author    = {Abey Litty},
  title     = {Generative AI for Robotic Process Automation: Automating Complex Business Processes with GPU-Powered Reinforcement Learning and Business Analytics},
  howpublished = {EasyChair Preprint 14387},
  year      = {EasyChair, 2024}}