
LTIMindtree
Artificial Intelligence and Automation in IT Operations
Pages
5
Time to read
6 mins
Publication
Language
English

Pages
5
Time to read
6 mins
Publication
Language
English
This document is a technical report that discusses the integration of artificial intelligence (AI) and automation within IT operations, specifically focusing on the challenges posed by traditional monitoring tools. It outlines the significant impact of unplanned outages on business productivity and costs, referencing a Forrester Consulting survey that highlights the higher costs associated with unplanned downtime. The report details the limitations of conventional monitoring tools, such as their reactive nature, reliance on human oversight, and inability to correlate events across different systems. To address these challenges, the report introduces AIOps as a solution that consolidates monitoring efforts and enhances operational efficiency through intelligent insights and automation. AIOps is characterized by features such as event collection, noise reduction, event correlation, and the ability to provide intelligent insights for proactive issue resolution. The document emphasizes the necessity of adopting AIOps for future IT operations, given the increasing complexity and volume of data in modern IT environments.