A new technical paper available, “Best Practices for Implementing AIOps in Large Organizations, by Dr. Wally Potts and Chris Carver,” was presented at the SmartNets IEEE conference.
This paper presents a qualitative case study focusing on the application of Artificial Intelligence for IT Operations (AIOps) within the federal government by federal contractors. The research explores whether insights and recommendations from commercial AIOps literature and use cases apply to government settings. The study includes a literature review on AIOps, focusing on technology adoption, interdependencies, and merging data science, IT operations, and software development.
Veterans Engineering (VE) shares its experiences and observations working with federal agencies in the AIOps space. The paper highlights key findings, such as the importance of understanding interdependencies, prioritizing skill domains over tool selection, and the critical role of business objectives in program success. It suggests that government and private sectors face similar challenges, such as the need for skilled engineers and dealing with large-scale data. The paper concludes that federal agencies can learn from private sector practices to improve their AIOps implementations, with success often depending on leadership support and dedicated teams.
