Articles
| Open Access |
DOI: Redefining IT Operations: How AI Computing Racks Are Powering Autonomous IT Infrastructure and Intelligent Service Management
Kirtibhai Desai , Master of Science in Computer Science, Campbellsville University USA MD Sheam Arafat , Department of Master Business Administration in Business Analytics, International American University, Los Angeles, California, USA Mohammad Majharul Islam , Master of Business Administration in Management Information System, Lincoln University, Oakland, California, USA Ayesha Islam Asha , Department of Master Business Administration, International American University, Los Angeles, California, USA Sharmin Akter , Department of Information Technology in Project Management, St. Francis College, Brooklyn, New York, USAAbstract
New advancements in artificial intelligence technology have driven fundamental changes in IT operations by making possible self-governing infrastructure along with intelligent service administration. IT frameworks of a traditional nature present several performance-limiting issues because they depend on humans while only addressing problems after they occur which leads to both poor operational outcomes and elevated operational expenses. AI computing racks bring revolutionary changes to IT systems through their integration of machine learning (ML) algorithms and predictive analytics which enables real-time automation along with self-healing capabilities and intelligent service management decisions. The research evaluates how AI-powered computing racks affect IT infrastructure and demonstrates their ability to improve resource management while boosting security resistance and enhancing operational delivery capabilities. The research tracks real-world deployments through empirical methods while it evaluates how AI computing racks modify workload management systems and decrease system failure frequency and boost prognostic maintenance performance. AI-driven automation delivers substantial cost savings along with increased operational efficiency through selected industry-specific examples that the research analyzes. AI-powered IT operations achieve dual goals of producing automated systems which scale up operations while creating sustainable IT networks. The research delivers direct recommendations to companies that aim to implement AI-driven infrastructure systems through a deployment path which solves infrastructure adoption hurdles including execution expenses together with privacy protection matters and worker skill adaptations. The next-generation enterprise IT framework will establish AI computing racks as its core foundation because they apply intelligent automation to revamp IT operations for enhanced efficiency and security alongside innovation capabilities.
Keywords
AI Computing Racks, Autonomous IT Infrastructure, Intelligent Service Management, IT Operations, AI-Powered Computing
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