Leveraging AI-Powered Predictive Analytics to Optimize Enterprise Database Performance

Abstract

Enterprise databases are pivotal in ensuring seamless business operations but often face performance bottlenecks that disrupt business continuity. Traditional database optimization methods, relying on manual, reactive approaches, are increasingly insufficient as data environments grow in complexity. This talk introduces an AI-powered framework for predictive analytics, designed to proactively optimize database performance by leveraging reinforcement learning and historical data analysis. By automating tasks such as query indexing and real-time performance monitoring, this framework reduces resource over-allocation and improves query latency. Key outcomes from a case study on a large e-commerce platform demonstrate a 28% decrease in query latency during peak periods and a 40% reduction in over-provisioning, resulting in significant cost savings and improved customer experience. The AI framework integrates explainable AI (XAI) techniques to provide database administrators (DBAs) with transparent, actionable insights, bridging the gap between machine learning models and human expertise. As a result, organizations experience a 37% faster resolution of complex database performance issues when AI recommendations are paired with human judgment. Furthermore, predictive models provide 97% accuracy in resource allocation forecasting, which proactively addresses potential bottlenecks, reducing incidents before they affect business operations. The synergy between AI and DBAs fosters a collaborative approach, where AI automates routine tasks while humans focus on strategic decisions. This framework has demonstrated a 45% reduction in total cost of ownership for database infrastructure, enabling businesses to achieve operational resilience and improved performance, even during periods of high demand. This presentation will explore the integration of AI into database optimization and its transformative impact on enterprise performance management, highlighting the business value, enhanced decision-making, and cost-efficiency it offers to organizations.