Revolutionizing Manufacturing: Democratizing AI Through Oracle Cloud's Low-Code MLOps Framework

This article examines how Oracle Cloud's low-code MLOps ecosystem is transforming manufacturing operations by democratizing access to artificial intelligence capabilities. By providing intuitive interfaces, pre-configured templates, and automated workflows, these tools bridge the divide between technical specialists and operational teams, enabling diverse stakeholders to participate in AI-driven innovation. The integration of Oracle's comprehensive suite of services—including Data Science Studio, Machine Learning, Visual Builder, and Autonomous Data Warehouse—creates an accessible environment where manufacturing professionals can develop and deploy sophisticated predictive maintenance systems, quality control mechanisms, and production optimization solutions without extensive programming knowledge. Beyond technical advancements, this democratization of AI represents a significant societal shift, fostering inclusive workforce development, cross-functional collaboration, and organizational resilience in an increasingly competitive industrial landscape.

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Publication Details

Journal
Technix International Journal for Engineering Research
Published
2025-01-01
DOI
https://doi.org/10.56975/tijer.v12i6.158387
Primary Topic
Digital Transformation in Industry
Type
article
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article

Revolutionizing Manufacturing: Democratizing AI Through Oracle Cloud's Low-Code MLOps Framework

Venkata Ramachandra Karthik Chundi
Technix International Journal for Engineering Research
Digital Transformation in Industry
article

Revolutionizing Manufacturing: Democratizing AI Through Oracle Cloud's Low-Code MLOps Framework

Venkata Ramachandra Karthik Chundi
article en

Abstract

This article examines how Oracle Cloud's low-code MLOps ecosystem is transforming manufacturing operations by democratizing access to artificial intelligence capabilities. By providing intuitive interfaces, pre-configured templates, and automated workflows, these tools bridge the divide between technical specialists and operational teams, enabling diverse stakeholders to participate in AI-driven innovation. The integration of Oracle's comprehensive suite of services—including Data Science Studio, Machine Learning, Visual Builder, and Autonomous Data Warehouse—creates an accessible environment where manufacturing professionals can develop and deploy sophisticated predictive maintenance systems, quality control mechanisms, and production optimization solutions without extensive programming knowledge. Beyond technical advancements, this democratization of AI represents a significant societal shift, fostering inclusive workforce development, cross-functional collaboration, and organizational resilience in an increasingly competitive industrial landscape.

Technix International Journal for Engineering ResearchVol. 12(6)
Sri Venkateswara University (IN)
Decent work and economic growth
Openalex Percentile: Top 81%
Digital Transformation in Industry
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Revolutionizing Manufacturing: Democratizing AI Through Oracle Cloud's Low-Code MLOps Framework — Venkata Ramachandra Karthik Chundi · Technix International Journal for Engineering Research (2025) | TGRS Research Map | TGRS