Human-AI Collaboration in Data Migration
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| Formato: | Recurso digital |
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2025
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| _version_ | 1866901653511208960 |
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| author | Harishraj N Shetty |
| author_facet | Harishraj N Shetty |
| contents | In large-scale data migration projects, the role of human decision-making is critical—especially when transitioning from legacy systems to modern cloud-based platforms such as Salesforce. This paper consolidates practitioner reflections and observations into a phase-wise review of challenges, decision points, and potential applications of artificial intelligence (AI). It draws on detailed reflections about challenges in data migration, the opportunities AI integration offers, and the lifecycle phases of migration projects. Each phase is described in terms of real-world difficulties, possible AI applications, and boundaries where human oversight is necessary. By traversing the full data migration lifecycle, this paper provides a structured reflection on where AI can enhance outcomes and where human judgment remains irreplaceable. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18103530 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Human-AI Collaboration in Data Migration Harishraj N Shetty Data Migration; Artificial Intelligence (AI); Generative AI (GenAI); Digital Transformation; Project Management; Data Management; Automation; Data Quality; Legacy Systems; Machine Learning (ML); In large-scale data migration projects, the role of human decision-making is critical—especially when transitioning from legacy systems to modern cloud-based platforms such as Salesforce. This paper consolidates practitioner reflections and observations into a phase-wise review of challenges, decision points, and potential applications of artificial intelligence (AI). It draws on detailed reflections about challenges in data migration, the opportunities AI integration offers, and the lifecycle phases of migration projects. Each phase is described in terms of real-world difficulties, possible AI applications, and boundaries where human oversight is necessary. By traversing the full data migration lifecycle, this paper provides a structured reflection on where AI can enhance outcomes and where human judgment remains irreplaceable. |
| title | Human-AI Collaboration in Data Migration |
| topic | Data Migration; Artificial Intelligence (AI); Generative AI (GenAI); Digital Transformation; Project Management; Data Management; Automation; Data Quality; Legacy Systems; Machine Learning (ML); |
| url | https://doi.org/10.5281/zenodo.18103530 |