Revolutionizing Cloud Modernization through AI Integration

Main Article Content

Geetesh Sanodia

Abstract

This comprehensive research paper explores the transformative impact of Artificial Intelligence (AI) on cloud computing modernization. It examines the current state of cloud infrastructure, identifies key AI technologies driving innovation, and analyses strategies for AI-driven cloud modernization. The study investigates implementation approaches, presents case studies from major cloud providers, and discusses challenges and future trends. Through extensive analysis of recent developments and industry data, this research highlights the symbiotic relationship between AI and cloud computing, demonstrating how AI is revolutionizing cloud architectures, improving efficiency, enhancing security, and enabling new services. The paper concludes with an assessment of the economic impact and provides recommendations for businesses navigating this technological frontier.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Sanodia, G. . (2024). Revolutionizing Cloud Modernization through AI Integration. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(2), 266–283. https://doi.org/10.61841/turcomat.v15i2.14752
Section
Original Article

References

Accenture. (2016). Why Artificial Intelligence is the Future of Growth. https://www.accenture.com/t20170524T154418Z__w__/be-en/_acnmedia/PDF-33/Accenture-Why-AI-is-the-Future-of-Growth.pdf

Amazon Web Services. (2023). Amazon SageMaker. https://aws.amazon.com/sagemaker/

Boston Consulting Group. (2021). What Happens When 'If' Turns to 'When' in Quantum Computing? https://www.bcg.com/publications/2021/building-quantum-advantage

Check Point. (2021). 2021 Cloud Security Report. https://pages.checkpoint.com/cloud-security-report-2021.html

Cloud Native Computing Foundation. (2020). CNCF Survey 2020. https://www.cncf.io/wp-content/uploads/2020/11/CNCF_Survey_Report_2020.pdf

DataDog. (2021). The State of Serverless. https://www.datadoghq.com/state-of-serverless/

Deloitte. (2020). State of AI in the Enterprise, 3rd Edition. https://www2.deloitte.com/us/en/insights/focus/cognitive-technologies/state-of-ai-and-intelligent-automation-in-business-survey.html

Flexera. (2021). 2021 State of the Cloud Report. https://info.flexera.com/SLO-CM-REPORT-State-of-the-Cloud

Gartner. (2021). Gartner Forecasts Worldwide Public Cloud End-User Spending to Grow 23% in 2021. https://www.gartner.com/en/newsroom/press-releases/2021-04-21-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-grow-23-percent-in-2021

Google Cloud. (2023). Cloud AutoML. https://cloud.google.com/automl

IBM. (2019). The Enterprise Guide to Closing the Skills Gap. https://www.ibm.com/downloads/cas/EPYMNBJA

IDC. (2020). IDC FutureScape: Worldwide IT Industry 2021 Predictions. https://www.idc.com/getdoc.jsp?containerId=US46942020

KPMG. (2020). Corporate Data Responsibility: Bridging the Consumer Trust Gap. https://advisory.kpmg.us/articles/2020/bridging-the-trust-chasm.html

MarketsandMarkets. (2020). Artificial Intelligence as a Service (AIaaS) Market. https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-ai-as-a-service-market-121842268.html

Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing. National Institute of Standards and Technology. https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf

Microsoft Azure. (2023). Azure Cognitive Services. https://azure.microsoft.com/en-us/services/cognitive-services/

MIT Technology Review. (2018). A study finds that a face recognition system works differently for white and black faces. https://www.technologyreview.com/2018/02/11/145487/a-study-finds-that-a-face-recognition-system-works-differently-for-white-and-black-faces/

O'Reilly. (2020). AI Adoption in the Enterprise 2020. https://www.oreilly.com/radar/ai-adoption-in-the-enterprise-2020/