ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING-DRIVEN APPROACHES TO ENHANCE PROJECT MANAGEMENT IN ENGINEERING
Keywords:
Artificial intelligence, Machine getting to know, Project control, Risk evaluation, Schedule optimization, Cost estimation, Resource allocation, Predictive protection, Decision assist systems, Engineering innovation, Automation, Workflow optimization.Abstract
Artificial intelligence and tool analyzing are transforming mission control in engineering by way of manner of manner of allowing records-driven choice-making, predictive analytics, and automation. Traditional project manipulate strategies regularly battle with uncertainties, main to inefficiencies in resource allocation and price estimation. AI-driven techniques, such as reinforcement learning, deep analyzing, and herbal language processing, beautify accuracy and flexibility. Risk assessment, time table optimization, and predictive protection gain considerably from AI-powered fashions. Intelligent selection assist structures decorate workflow control and mitigate mission risks. Comparative studies highlight AI’s superiority over traditional techniques in typical overall performance and performance. Real-time information analysis allows proactive trouble decision, reducing project delays. AI-primarily based totally absolutely automation streamlines repetitive duties, enhancing productiveness. Machine learning enhances forecasting abilities, optimizing project planning. Integration of AI fosters innovation and sustainability in engineering projects. Future studies need to hobby on AI’s scalability and flexibility at some stage in numerous engineering domain names. This have a take a look at gives insights into leveraging AI and ML to beautify challenge effects.
