Asian Basic and Applied Research Journal

Artificial Intelligence (AI) has become a fundamental element of contemporary business advancement, presenting transformative possibilities across various sectors. Nevertheless, the effective implementation of AI systems is contingent upon the successful incorporation of industry-specific knowledge. This paper investigates the ways in which businesses can utilize industry expertise to foster AI-driven progress, tackling obstacles like data silos, the absence of domain alignment, and inadequate collaboration between technical and operational teams. Through an extensive analysis of literature and a mixed-methods approach including case studies, this study puts forth a resilient framework for integrating AI with industry knowledge, emphasizing data integration, knowledge transfer, and continuous learning. The results offer actionable strategies for organizations seeking to attain sustainable AI-driven business growth.