Aneesya Panicker

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About

Aneesya Panicker is a forward-thinking researcher at the intersection of artificial intelligence and business management, with a primary focus on how machine learning and AI are reshaping organizational decision-making. Her most influential work, "The Emergence of Artificial Intelligence and Machine Learning in Contemporary Business Management" (2023), has garnered 64 citations, establishing her as a key voice in the application of supervised and unsupervised learning to corporate strategy. In this paper, Panicker demonstrates how deep learning can optimize decision-making processes, offering a practical roadmap for modern enterprises. She further explores the nuanced role of AI in human resource management through her work "Factorization of AI Application in HRM" (2022), which has earned 7 citations and highlights her ability to bridge technical AI concepts with real-world HR challenges. Panicker’s contributions are particularly valuable for students and researchers seeking to understand how AI can be leveraged for strategic advantage, making her a notable figure in the evolving field of AI-driven business innovation.