About the Journal
Engineering driven Businesses can now make data-driven decisions more effectively, leading to enhanced productivity and cost savings. AI-driven analytics and predictive modelling allow companies to gain deeper insights into customer behaviour, market trends, and operational performance, enabling them to tailor products and services more effectively and respond to changing market dynamics with agility. IJAIMD seeks to provide a scholarly platform where researchers can contribute the latest studies on the impact that AI technologies have within business and management domains and support decision making policies to yield maximum profit. AI utilization in business is crucial as it not only enhances operational efficiency and decision making, but also generates vast datasets, creating a rich source for research. IJAIMD is abided to publish only high-quality research papers of different categories original Research Articles, Review Articles, Survey Articles, Case studies, Technical Notes, and Short Communication. Through rigorous peer review and a commitment to academic excellence, this journal offers invaluable knowledge to academics, industry professionals, students, and innovators seeking to harness the power of AI for competitive advantage on a global scale.
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