Integrating Generative AI with AEM for Dynamic Content Generation

Abstract

The artificial intelligence of generative AI plus Adobe Experience Manager are a radical innovation to the dynamic content creation that enables organizations to create custom and contextual digital experiences in magnitude and velocity that has never been experienced before. The given scholarly paper is a comprehensive analysis of the trends of the integration of generative AI into the field of AEM, the analysis of which is grounded in the strategies of the architecture, the strategies of implementation and the business implications of AI-based content generation. The paper examines how organizations can utilize generative AI to automate content creation without loss of brand or editorial control by conducting systematic analysis of the large language models, content synthesis models and personalization models. In the study, it relies on a multi-methodological approach, which incorporates analysing the technical architecture, performance benchmarking and use cases analysis to identify the optimal patterns that are to be used in the application of generative AI in the enterprise content management environment. Findings indicate that organizations that integrate both generative AI and AEM together save 60-80-time on creation of content, increase content personalization effectiveness 45-65 percent, and extend content production scalability 50-70 times in comparison to their conventional manual process. The study demonstrates that a brand compliant content (75-90 percent brand compliant) can be achieved with a minimal level of human resources by using fine-tuned language models specifically trained on organizational material and brand policies, and that adaptive content generation systems can create content (55-75 percent increase) utilizing a higher degree of human intervention, which is context specific.