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

Year: 2025

Type: article

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.

Source: Technix International Journal for Engineering Research

DOI: 10.56975/tijer.v12i6.158387

Author: Venkata Ramachandra Karthik Chundi

Institution: Sri Venkateswara University

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4411212888