Adoption of Artificial Intelligence in Cloud Computing |
||
|
|
|
© 2023 by IJCTT Journal | ||
Volume-71 Issue-6 |
||
Year of Publication : 2023 | ||
Authors : Karthik Allam | ||
DOI : 10.14445/22312803/IJCTT-V71I6P116 |
How to Cite?
Karthik Allam, "Adoption of Artificial Intelligence in Cloud Computing," International Journal of Computer Trends and Technology, vol. 71, no. 6, pp. 91-95, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I6P116
Abstract
Artificial intelligence has advanced to unprecedented levels in recent years. As a result, it has revolutionized numerous technologies, chief among them being cloud computing. Adopting AI in cloud computing has multiple impacts and implications for businesses. With the increasing adoption of AI-powered clouds, companies are experiencing significant transformations in their operations. In particular, integrating AI in cloud environments enables the creation of autonomous systems, optimizes data management, and provides conversational experiences through chatbots. Furthermore, businesses can unlock their potential by leveraging AI-enabled clouds, strengthening data visualization and analysis capabilities, and meeting the growing data needs. AI adoption in the cloud is set to revolutionize future business operations by automating personalized customer services, offering real-time solutions to industry challenges, and aiding in achieving sustainability goals. The benefits of AI in cloud computing infrastructure include enhanced efficiency, improved data management practices, personalized user experiences, and scalability. The combination of AI and cloud computing presents new opportunities for businesses to leverage their data assets and infrastructure effectively.
Keywords
Cloud AI, AI-enabled cloud, Artificial intelligence in cloud computing, AI adoption in the cloud, Cloud AI benefits, AI for business cloud.
Reference
[1] [Online]. Available: https://www.grandviewresearch.com/industry-analysis/cloud-ai-market-report
[2] [Online]. Available: https://indiaai.gov.in/case-study/ai-sensors-to-make-farming-smarter
[3] [Online]. Available: https://venturebeat.com/2021/07/20/businesses-are-accelerating-their-adoption-of-analytics-survey-finds/
[4] [Online]. Available: https://venturebeat.com/2021/06/15/enterprise-ai-budgets-up-55-percent-over-2020-appen-says/
[5] [Online]. Available: https://www.forbes.com/sites/davidjeans/2020/10/20/bcg-mit-report-shows-companies-will-spend-50-billion-on-artificial-intelligence-with-few-results/#:~:text=More%20than%20%2450%20billion%20is,reach%20%24110%20billion%2C%20IDC%20forecasts.
[6] [Online]. Available: https://www.multivu.com/players/English/9002053-ibm-global-ai-adoption-index-2022/image/Visual5_1652814434380-HR.jpg
[7] [Online]. Available: https://www.tierpoint.com/blog/big-data-bi-and-ai-driving-cloud-adoption/
[8] [Online]. Available: https://venturebeat.com/2021/07/14/ai-adoption-sees-massive-shift-accenture-exec-says/
[9] [Online]. Available: https://venturebeat.com/ai/do-more-with-less-why-public-cloud-services-are-key-for-ai-and-hpc-in-an-uncertain-2023/
[10] [Online]. Available: https://aiwoox.com/artificial-intelligence-in-cloud-computing
[11] Sukhpal Singh Gill et al., ”Transformative effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing: Evolution, Vision, Trends and Open Challenges,” Internet of Things, vol. 8, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Mounir M. El Khatib, Ahmed Al-Nakeeb, and Gouher Ahmed, “Integration of Cloud Computing with Artificial Intelligence and its Impact on Telecom Sector—A Case Study,” iBusiness, vol. 11, no. 1, pp. 1-10, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[13] [Online]. Available: https://www.missioncriticalmagazine.com/articles/89920-leveraging-artificial-intelligence-ai-for-cloud-management
[14] [Online]. Available: https://www.informatica.com/blogs/how-to-infuse-artificial-intelligence-into-cloud-data-management.html
[15] Nina Svenningsson, and Montathar Faraon, ”Artificial Intelligence in Conversational Agents: A Study of Factors Related to Perceived Humanness in Chatbots,” 2nd Artificial Intelligence and Cloud Computing Conference , pp. 151-161, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Mufadhol Mufadhol, Agus Wibowo, and Joseph Teguh Santoso, “Digital Marketing Techniques for Business Intelligence Systems use Automated Chatbot Machine Learning,” PalArch's Journal of Archaeology of Egypt/Egyptology, vol. 17, no. 7, pp. 6895-6906, 2020.
[Google Scholar] [Publisher Link]
[17] [Online]. Available: https://www.researchdive.com/2800/cognitive-cloud-computing-market
[18] [Online]. Available: https://www.cxotoday.com/cxo-bytes/how-ai-and-cloud-are-set-to-change-the-future-of-businesses/
[19] [Online]. Available: https://www.gartner.com/smarterwithgartner/gartner-predicts-the-future-of-ai-technologies
[20] José Jiménez-Luna, Francesca Grisoni, and Gisbert Schneider, “Drug Discovery with Explainable Artificial Intelligence,” Nature Machine Intelligence, vol. 2, pp. 573-584, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[21] [Online]. Available: https://www.washingtonpost.com/sf/brand-connect/ucdavis/driverless-cars-could-be-a-solution-to-climate-change/
[22] [Online]. Available: https://www.analyticsvidhya.com/blog/2023/01/ai-in-agriculture-using-computer-vision-to-improve-crop-yields/#:~:text=A%20start%2Dup%20called%20CropIn,increase%20by%20up%20to%2030%25