Training Effectiveness for Ai-Baseed Predictive Maintenance Systems at Infosys Company

Abstract

The rapid adoption of Artificial Intelligence (AI) and predictive maintenance technologies has transformed maintenance management practices across modern organizations, enabling improved operational efficiency, reduced equipment downtime, and data-driven decision-making. As organizations increasingly integrate AI-based predictive maintenance systems into their operations, effective employee training has become essential for ensuring successful technology adoption and maximizing organizational performance. This study examines the effectiveness of training programs for AI-based predictive maintenance systems at Infosys Company, with a focus on evaluating their impact on employee knowledge, technical skills, system utilization, productivity, and overall organizational efficiency. The research investigates key training dimensions such as training design, content quality, practical learning, instructor effectiveness, digital learning platforms, employee engagement, and post-training performance. A descriptive research design was adopted using both primary and secondary data. Primary data were collected through structured questionnaires administered to employees involved in AI-based predictive maintenance projects at Infosys, while secondary data were obtained from company reports, academic journals, books, and credible online sources. The collected data were analyzed using percentage analysis, mean analysis, and graphical representations to assess the effectiveness of the training programs. The findings indicate that wellstructured AI training significantly enhances employees technical competencies, confidence in using predictive maintenance tools, problem-solving abilities, and operational productivity. However, challenges such as rapidly evolving AI technologies, varying employee skill levels, limited hands-on experience, and continuous learning requirements influence training outcomes. The study concludes that continuous skill development, practical training, personalized learning approaches, and organizational support are essential for improving the effectiveness of AI-based predictive maintenance training programs and ensuring successful digital transformation at Infosys Company. Keywords: Artificial Intelligence (AI), predictive maintenance, training effectiveness, Infosys, employee training, digital transformation, machine learning, technical skill development.