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Artificial Intelligence Driven Intelligent Computing for Modern Information Systems

Research Article

Abstract

Artificial Intelligence has emerged as a transformative technology for modern information systems, enabling intelligent analysis, automated decision-making, predictive modelling, and adaptive computing environments. This research examines the role of artificial intelligence-driven approaches in improving the efficiency, scalability, and reliability of contemporary information systems. The study discusses intelligent computational techniques,data-driven decision processes, and the integration of AI models into complex digital environments. The findings highlight the potential of intelligent computing to support responsive, scalable,and data-centric information systems while emphasizing transparency,reliability, security, and responsible implementation.

Keywords

Artificial Intelligence, Intelligent Computing, Information Systems, Machine Learning, Data Analytics, Digital Transformation

References

Russell, S. and Norvig, P. (2021). Artificial Intelligence: A Modern Approach. 4th ed. Pearson.

Goodfellow, I., Bengio, Y. and Courville, A. (2016). Deep Learning. MIT Press.

Mitchell, T. M. (1997). Machine Learning. McGraw-Hill.

Sutton, R. S. and Barto, A. G. (2018). Reinforcement Learning: An Introduction. 2nd ed. MIT Press.

Kelleher, J. D. (2019). Deep Learning. MIT Press.

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