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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18446294 |
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| _version_ | 1866901104465281024 |
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| author | Agrawal, Neeraj |
| author_facet | Agrawal, Neeraj |
| contents | <p>The modernization of legacy core systems is a strategic imperative for enterprises seeking agility, scalability, and resilience in the digital era. However, the decoupling and containerization of monolithic architectures remain complex, resource-intensive, and risk-prone. This paper explores how artificial intelligence (AI) can be harnessed to accelerate and de-risk this transformation. By integrating AI into code analysis, dependency mapping, automated refactoring, and orchestration, organizations can streamline modernization efforts and unlock cloud-native capabilities. Drawing from industry case studies and emerging research, we propose a framework for AI-assisted core modernization and examine its implications for enterprise architecture, governance, and operational excellence.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18446294 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Leveraging AI to Accelerate Decoupling and Containerization of Core Systems Agrawal, Neeraj <p>The modernization of legacy core systems is a strategic imperative for enterprises seeking agility, scalability, and resilience in the digital era. However, the decoupling and containerization of monolithic architectures remain complex, resource-intensive, and risk-prone. This paper explores how artificial intelligence (AI) can be harnessed to accelerate and de-risk this transformation. By integrating AI into code analysis, dependency mapping, automated refactoring, and orchestration, organizations can streamline modernization efforts and unlock cloud-native capabilities. Drawing from industry case studies and emerging research, we propose a framework for AI-assisted core modernization and examine its implications for enterprise architecture, governance, and operational excellence.</p> |
| title | Leveraging AI to Accelerate Decoupling and Containerization of Core Systems |
| url | https://doi.org/10.5281/zenodo.18446294 |