Sarcouncil Journal of Engineering and Computer Sciences

Abstract: Financial services are experiencing a transformative evolution through the integration of large language models (LLMs), with AWS Bedrock emerging as a catalyst for innovation in fraud detection, customer experience personalization, and data-driven insights. The platform's fully managed service provides seamless access to foundation models through a unified API while enabling private customization via fine-tuning and retrieval-augmented generation techniques. The serverless architecture automatically scales resources, making enterprise-scale model deployment efficient and cost-effective. For financial institutions, these capabilities translate into accelerated deployment cycles and reduced barriers to entry for AI solutions. Engineers can rapidly integrate advanced language models into applications without managing underlying infrastructure, ensuring secure handling of sensitive data and compliance requirements. Major institutions have demonstrated significant success in implementing Bedrock across various use cases, from strengthening market surveillance to enhancing fraud detection systems, leading to improved operational efficiency, risk management, and customer engagement across the financial sector.