International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
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Success in Reducing Testing Time with AI-optimized Solutions

Author(s) Divyansh Jain
Country United States
Abstract This article examines implementing AI-optimized solutions to reduce testing time across manufacturing
and development environments. The article explores how machine learning techniques can effectively
address traditional testing bottlenecks while maintaining quality standards. The article demonstrates the
transformative potential of ML-driven testing optimization by analyzing implementations across various
industries, including pharmaceutical, electronics, and software development sectors. The findings
highlight significant improvements in testing efficiency, resource utilization, and defect detection by
integrating advanced predictive models, real-time adaptation systems, and cross-functional integration
strategies. The article also identifies key success factors such as data quality management, balanced
testing approaches, continuous model refinement, and stakeholder engagement that are crucial for
successfully implementing ML-based testing solutions.
Keywords Machine Learning Testing Optimization, Quality Control Automation, Manufacturing Process Efficiency, AI-Driven Defect Detection, Smart Manufacturing Systems
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-12
Cite This Success in Reducing Testing Time with AI-optimized Solutions - Divyansh Jain - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32639
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.32639
Short DOI https://doi.org/g8vgh9
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