Artificial Intelligence and Cognitive Technologies in Enterprise Automation: A Survey of Architectures, Tools, and Implementation Strategies
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V7I1P114Keywords:
Artificial Intelligence, Cognitive Automation, Enterprise Automation, Machine Learning, Natural Language Processing, Robotic Process Automation, Predictive AnalyticsAbstract
The rapid adoption of artificial intelligence (AI) and cognitive technologies has been introduced, turning enterprise automation into a rapid trend, allowing organizations to make operations more efficient, minimize human interaction, and optimize decision-making. Cognitive automation builds upon the foundations of traditional rule-based robotic process automation (RPA) with machine learning (ML), natural language processing (NLP), computer vision, and human-computer interaction (HCI) to process unstructured data and identify patterns and make intelligent and data-driven decisions. This survey addresses the architectures, patterns, and methods of implementation, which lie behind AI-powered automation of the enterprise, with a focus on layered cognitive models, heterogeneous system integration, and real-time analytics. It also examines empowering technology like smart chatbots, cognitive robotic process automation, document processing software, predictive analytics and process optimization platforms, and their effect on operational efficiency, cost savings and agility. The paper will be a valuable contribution to researchers and practitioners due to its extensive discussion on architectures, tools, and strategies to implement their automation solutions in the best possible way, as well as future growth in scalable, intelligent business systems.
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