AI and DevOps in Information Technology and Its Future in the United States
Year: 2021
Type: preprint
Abstract: This research explored how AI and DevOps work together in information technology and also examine its significance to the United States. The study found out that DevOps systems can be very difficult to handle and supervise without artificial intelligence. These two components work together in information technology to bring efficiency when handling various tasks. The increase in the amount of data available makes it very difficult for DevOps teams to quickly consume and incorporate new information with the ability to fix consumers' problems. The automation trend has surpassed IT, teams, wherever making DevOps a critical component of information technology. DevOps enhances efficiency by enabling software delivery and enabling businesses to bring software to market quicker thus producing a more stable product. In essence, there are a lot of important issues (like national security) that can be tackled through AI-powered technologies. The research also states that organizations should turn their DevOps environment to having a more AI-led deployment. As computers will only be able to handle a limited amount of information at any given time, artificial intelligence has become the solution that can be used to store, process, and analyze large amounts of data. To understand the role AI would have in DevOps, it is important to first understand the connection to DevOps, and how that relationship affects AI. Many companies quickly understand the potential of Artificial Intelligence and Machine Learning. Nevertheless, this awareness may be held back, since they haven't yet imparted the proper knowledge required to truly start exploiting these technologies. In software growth, DevOps software has certain natural deficiencies that are very difficult to overcome without the computational feature that artificial intelligence systems have to offer. They are crucial to the progress of the digital transformation.
Source: SSRN Electronic Journal
Author: Lakshmisri Surya
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3161241268