Next-Generation Decision Support: Harnessing AI and ML within BRMS Frameworks
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Abstract
This research paper explores the transformative potential of integrating Artificial Intelligence (AI) and Machine Learning (ML) within Business Rules Management Systems (BRMS) to usher in a new era of decision support. Focusing on the next generation of decision-making frameworks, the study delves into the synergistic application of AI and ML technologies, aiming to enhance the adaptability, predictive capabilities, and overall efficacy of BRMS. Through a comprehensive review, case studies, and analysis of industry-specific impacts, the paper illuminates the multifaceted benefits and challenges associated with this integration. Ethical considerations, user experiences, and the evolving landscape of AI and ML technologies within BRMS are explored, offering valuable insights into the potential for revolutionizing decision support systems. This research contributes to the ongoing discourse on the evolution of BRMS, positioning AI and ML as catalysts for innovation in decision-making processes across diverse sectors.
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