Enhanced business intelligence through the convergence of big data analytics, AI, Machine Learning, IoT and Blockchain
Department of Computer Science, Yaba College of Technology, Lagos, Nigeria.
School of Computer Science, University of Hertfordshire, Hartfield, United Kingdom.
Aberdeen Business School, Robert Gordon University, Aberdeen, United Kingdom.
EGTL, Chevron Nigeria Limited, Nigeria.
Review
Open Access Research Journal of Science and Technology, 2021, 02(02), 023-030.
Article DOI: 10.53022/oarjst.2021.2.2.0042
Publication history:
Received on 25 July 2021; revised on 14 September 2021; accepted on 17 September 2021
Abstract:
In this era of the information economy, the integration of advanced technologies has become essential in making improvements to business intelligence. The paper provides a conceptual framework in the synergistic integration of Big Data Analytics, Artificial Intelligence, Machine Learning, the Internet of Things, and Blockchain for overcoming such limitations found in traditional BI solutions. The framework leverages the advantages of these technologies: big data analytics and IoT are trusted sources of comprehensive and real-time data, while AI and ML perform advanced predictive and prescriptive analytics. Blockchain technology comes in when it is a question of trusting issues in the management of data, providing security, transparency, and integrity to the data. It outlines a number of use cases for this integration in supply chain, retail, healthcare, and finance; predictive logistics and end-to-end visibility; customized customer experiences and inventory optimization; predictive diagnostics and real-time patient monitoring; fraud detection; and risk management. This paradigm proposed will drive businesses to be more creative, operationally more effective, and make better decisions. Technical difficulty, ethical concerns with AI and data security, and financial barriers are all carefully considered. Despite these challenges, the study has shown how integrating many technologies can result in a BI system that is suited to the needs of modern businesses. Examining possible future developments shows that more research, ingenuity, and practical implementation are required for this framework to reach its full potential. Businesses would also be able to steer toward safe, intelligent, and dynamic decision-making processes for effective continuity if this were put into practice.
Keywords:
Artificial Intelligence (AI); Big Data Analytics; Business Intelligence; Internet of Things (IoT); Machine Learning (ML)
Full text article in PDF:
Copyright information:
Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0