A Case Study of AIOPs in Large Enterprises Using Predictive Analytics for IT Operations

Large enterprises and business processes are using Artificial Intelligence for IT Operations (AIOPs) to evaluate the use of predictive analytics and how major businesses are optimized and integrated. A survey will be conducted from a representative sample of big business organizations that have already integrated their IT operations using AIOPs with predictive analytics. This study aims to determine the types of predictive analytics techniques utilized in AIOPs, the degree to which these techniques successfully identify and resolve IT issues, and the advantages that result from their utilization. In addition, the research investigates the limitations that large businesses face when adopting and implementing AIOPs, such as the complexity of the technological aspects, the organizations' resistance, and data quality problems. The data obtained from the survey will be analysed using a research approach that includes both descriptive and inferential statistical methods, such as frequency distribution, correlation analysis, and regression analysis. The findings of this study will provide valuable insights into the use of AIOPs with predictive analytics in large enterprises to optimize IT operations and will identify challenges encountered during implementation and provide recommendations to overcome these challenges.