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@article{173139,
        author = {SHANKARA C and NIRMALA and PAVITHRA M J},
        title = {Advancements in AI and Industry 4.0: Automation-Driven Innovations and Applications},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {4},
        number = {5},
        pages = {295-301},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173139},
        abstract = {In today's rapidly evolving industrial landscape, manufacturers across various sectors face increasing challenges, including risk management, operational efficiency, and security. The integration of AI-driven automation and Industry 4.0 principles offers a strategic approach to overcoming these complexities. This article explores the core components and foundational concepts of Industry 4.0, highlighting its growing significance in modern manufacturing. While scholarly research has predominantly focused on the technological aspects of Industry 4.0, studies examining the impact of its technologies and services on production resources remain limited. There is a critical need for academic discourse on how Industry 4.0 innovations influence industrial operations. This article aims to introduce a framework that demonstrates the effects of Industry 4.0 technologies and AI-driven automation on production resources. The framework is applied across two distinct industries, offering insights into how businesses can leverage these advancements for data-driven decision-making and the strategic adoption of Industry 4.0 technologies.},
        keywords = {Applications, Industry4.0, Sensor, Manufacturing, Robotics},
        month = {February},
        }