Transforming Data into Actionable Insights with Cognitive Computing and AI
Transforming Data into Actionable Insights with Cognitive Computing and AI作者机构:Department of Computer Science Higher Colleges of Technology Fujairah United Arab Emirates
出 版 物:《Journal of Software Engineering and Applications》 (软件工程与应用(英文))
年 卷 期:2023年第16卷第6期
页 面:211-222页
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Business Growth Technology Natural Language Processing Neural Networks Data Analysis Pattern Recognition Automation Cognitive Computing Artificial Intelligence Actionable Insights Machine Learning Natural Language Virtual Assistants Chatbots Voice-Activated Devices
摘 要:How organizations analyze and use data for decision-making has been changed by cognitive computing and artificial intelligence (AI). Cognitive computing solutions can translate enormous amounts of data into valuable insights by utilizing the power of cutting-edge algorithms and machine learning, empowering enterprises to make deft decisions quickly and efficiently. This article explores the idea of cognitive computing and AI in decision-making, emphasizing its function in converting unvalued data into valuable knowledge. It details the advantages of utilizing these technologies, such as greater productivity, accuracy, and efficiency. Businesses may use cognitive computing and AI to their advantage to obtain a competitive edge in today’s data-driven world by knowing their capabilities and possibilities [1].