2018· International Journal of Intelligent Automation & Robotics Engineering· Vol 1, pp. 01-09· 7 citations
TL;DR
Through a comprehensive analysis, the study highlights how this synergy enhances operational efficiency, decision-making, and customer experiences, but also addresses the challenges, including technological complexities and ethical considerations, that organizations may encounter during implementation.
Abstract
The convergence of Robotic Process Automation (RPA) and Artificial Intelligence (AI) is transforming business operations by automating intricate tasks that require human-like intelligence. This paper explores the applications, terminology, benefits, and challenges associated with the integration of RPA and AI. Through a comprehensive analysis, the study highlights how this synergy enhances operational efficiency, decision-making, and customer experiences. However, it also addresses the challenges, including technological complexities and ethical considerations, that organizations may encounter during implementation. The paper concludes with insights into future trends and the evolving role of intelligent automation in business processes.
Artificial intelligence (AI) entered the managerial domain largely as an instrument of automation, promising cost reduction through the substitution of human effort in structured, repetitive and rule-governed tasks. A decade of organisational experience has revealed that this substitution logic captures only a narrow s...
Siddharth Singh, Ms. Sakshi Shukla, Ms. Prachi Malhotra, Prof. (Dr.) Smruti Ranjan Rat· International Journal of Adv...· 0 citations
The results indicate that AI augmentation is consistently found to have a positive effect on the operational performance in both manufacturing operations and logistics systems, with predictive maintenance, demand forecasting, and warehouse automation being the areas with the most empirical support.
Mercy Chinenye Chukwu· Iconic research and engineer...· 0 citations
Commercial operations across trading, import/export, logistics, and technology distribution are being reshaped by the convergence of artificial intelligence (AI), machine learning, multi-agent robotics, and Extended Reality (XR). Small and Medium-sized Enterprises (SMEs) feel this shift acutely: they face the same pres...
It is argued that first-principles models (FPMs) remain essential for mission- and business-critical workflows in industrial automation, both in process design and operations and hybrid intelligence integrates mechanistic rigor with data-driven insights to deliver smarter design, safer operations, and more sustainable...
Hong Zhao, Shu Wang, Salvador I. Pérez-Uresti et al.· Industrial & Engineering...· 0 citations
A comprehensive framework for the design, evaluation, and responsible deployment of Agentic AI is proposed, emphasizing safety, explainability, human-in-the-loop supervision, and ethical compliance and aims to maximize the benefits of Agentic AI while minimizing potential risks.
Nitin S. Shrirao, Dnyaneshwar S. Jadhav, Sarita B. Patil· Recent Trends in Mathematics· 0 citations
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