Application of AI in Cloud Computing

Kumar Kishan Chandra; Dr. Manisha Kumari Deep

doi:10.32628/IJSRSET2411588

Authors

Kumar Kishan Chandra PhD Scholar, YBN University, Ranchi, Jharkhand, India Author
Dr. Manisha Kumari Deep Professor, YBN University, Ranchi, Jharkhand, India Author

DOI:

https://doi.org/10.32628/IJSRSET2411588

Keywords:

AI, Cloud, Big Data, Saas, Paas, Iaas

Abstract

AI in cloud computing is a growing field that focuses on creating intelligent solutions for many industries. AI cloud computing enables companies to create dynamic applications by providing machine learning and analytics tools to perform advanced tasks. AI cloud computing focuses on creating these intelligent applications to help businesses use big data, provide systems for advanced operations, and predict and forecast future growth. Do it. This leads to good profitability and long-term operation of the business. This white paper examines the evolution of cloud computing, its benefits for small and large businesses, the latest business trends, use cases, and future predictions.

Downloads

Download data is not yet available.

References

International Journal of Engineering Trends and Technology (IJETT) – Volume 21 Number 6 – March 2015IJETT-V21P256.pdf (ijettjournal.org).

International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 6, June 2016IJARCCE 53.pdf.

The Application of Artificial Intelligence Technology in Cloud Computing Environment Resources, 21 September 2021.

B. Nemade, J. Nair, and B. Nemade, "Efficient GDP Growth Forecasting for India through a Novel Modified LSTM Approach," Communications on Applied Nonlinear Analysis, vol. 31, no. 2s, pp. 339-357, 2024. DOI: https://doi.org/10.52783/cana.v31.653

B. Marakarkandy, B. Nemade, S. Kelkar, P. V. Chandrika, V. A. Shirsath, and M. Mali, "Enhancing Multi-Channel Consumer Behavior Analysis: A Data-Driven Approach using the Optimized Apriori Algorithm," Journal of Electrical Systems, vol. 20, no. 2s, pp. 700–708, 2024. DOI: https://doi.org/10.52783/jes.1536

B. Nemade, N. Phadnis, A. Desai, and K. K. Mungekar, "Enhancing connectivity and intelligence through embedded Internet of Things devices," ICTACT Journal on Microelectronics, vol. 9, no. 4, pp. 1670-1674, Jan. 2024, doi: 10.21917/ijme.2024.0289.

B. C. Surve, B. Nemade, and V. Kaul, "Nano-electronic devices with machine learning capabilities," ICTACT Journal on Microelectronics, vol. 9, no. 3, pp. 1601-1606, Oct. 2023, doi: 10.21917/ijme.2023.0277.

G. Khandelwal, B. Nemade, N. Badhe, D. Mali, K. Gaikwad, and N. Ansari, "Designing and Developing novel methods for Enhancing the Accuracy of Water Quality Prediction for Aquaponic Farming," Advances in Nonlinear Variational Inequalities, vol. 27, no. 3, pp. 302-316, Aug. 2024, ISSN: 1092-910X.

B. Nemade, S. S. Alegavi, N. B. Badhe, and A. Desai, “Enhancing information security in multimedia streams through logic learning machine assisted moth-flame optimization,” ICTACT Journal of Communication Technology, vol. 14, no. 3, 2023.

S. S. Alegavi, B. Nemade, V. Bharadi, S. Gupta, V. Singh, and A. Belge, “Revolutionizing Healthcare through Health Monitoring Applications with Wearable Biomedical Devices,” International Journal of Recent Innovations and Trends in Computing and Communication, vol. 11, no. 9s, pp. 752–766, 2023. [Online]. Available: https://doi.org/10.17762/ijritcc.v11i9s.7890. DOI: https://doi.org/10.17762/ijritcc.v11i9s.7890

V. Kulkarni, B. Nemade, S. Patel, K. Patel, and S. Velpula, "A short report on ADHD detection using convolutional neural networks," Frontiers in Psychiatry, vol. 15, p. 1426155, Sept. 2024, doi: 10.3389/fpsyt.2024.1426155. DOI: https://doi.org/10.3389/fpsyt.2024.1426155

B. Nemade and D. Shah, “An IoT-Based Efficient Water Quality Prediction System for Aquaponics Farming,” in Computational Intelligence: Select Proceedings of InCITe 2022, Singapore: Springer Nature Singapore, 2023, pp. 311-323. [Online]. Available: https://doi.org/10.1007/978-981-19-7346-8_27. DOI: https://doi.org/10.1007/978-981-19-7346-8_27

B. Nemade and D. Shah, “IoT-based Water Parameter Testing in Linear Topology,” in 2020 10th International Conference on Cloud Computing, Data Science and Engineering (Confluence), Noida, India, 2020, pp. 546-551, doi: 10.1109/Confluence47617.2020.9058224. DOI: https://doi.org/10.1109/Confluence47617.2020.9058224