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| Natura: | Recurso digital |
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Zenodo
2025
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| Accesso online: | https://doi.org/10.5281/zenodo.15799084 |
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| _version_ | 1866902025550168064 |
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| author | Veera Venkata Subrahmanyam Kommireddy |
| author_facet | Veera Venkata Subrahmanyam Kommireddy |
| contents | <p><span lang="EN-US">This comprehensive article examines the transformative impact of digital technologies across manufacturing industries, focusing on semiconductor, automotive, and aerospace sectors. The document details how enterprise systems have evolved from basic transactional databases into sophisticated technological ecosystems powered by artificial intelligence, advanced analytics, and automation. It analyzes the technical architecture supporting data-driven applications, including analytical platforms like Tableau and Power BI, and the integration frameworks that connect these tools with enterprise systems. The content provides detailed technical implementation analyses across industries, highlighting each sector's unique challenges and solutions. The document further discusses the substantial benefits of advanced analytics integration, including computational efficiency gains, enhanced algorithmic decision support, architectural scalability, and accelerated innovation cycles. It concludes with a thorough examination of implementation challenges such as data integration complexity, performance optimization issues, security concerns, and technical debt management, paired with best practices including data fabric architecture, containerized analytics environments, API gateway patterns, automated data validation, and technical centers of excellence. Throughout, the document presents quantitative metrics that demonstrate the tangible business value realized through these technological implementations</span><span>.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15799084 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Enterprise Digital Transformation: Integration of AI, Automation, and Data Analytics across Industries Veera Venkata Subrahmanyam Kommireddy <p><span lang="EN-US">This comprehensive article examines the transformative impact of digital technologies across manufacturing industries, focusing on semiconductor, automotive, and aerospace sectors. The document details how enterprise systems have evolved from basic transactional databases into sophisticated technological ecosystems powered by artificial intelligence, advanced analytics, and automation. It analyzes the technical architecture supporting data-driven applications, including analytical platforms like Tableau and Power BI, and the integration frameworks that connect these tools with enterprise systems. The content provides detailed technical implementation analyses across industries, highlighting each sector's unique challenges and solutions. The document further discusses the substantial benefits of advanced analytics integration, including computational efficiency gains, enhanced algorithmic decision support, architectural scalability, and accelerated innovation cycles. It concludes with a thorough examination of implementation challenges such as data integration complexity, performance optimization issues, security concerns, and technical debt management, paired with best practices including data fabric architecture, containerized analytics environments, API gateway patterns, automated data validation, and technical centers of excellence. Throughout, the document presents quantitative metrics that demonstrate the tangible business value realized through these technological implementations</span><span>.</span></p> |
| title | Enterprise Digital Transformation: Integration of AI, Automation, and Data Analytics across Industries |
| url | https://doi.org/10.5281/zenodo.15799084 |