AIOps leverages off Artificial Intelligence algorithms to help organisations battle Digital Transformation problems and reduce operational costs.
‘Sophie’ is a Gartner-recognized AIOps solution that alerts when there may be a problem within a digital system. Loom integrates with the business’ digital assets, continually monitors and learns about them by reading their logs and detects a likely deviation from the norm when it does, Loom sends out an alert and recommends resolutions from the TKB (Tribal Knowledge Bank) and from it’s integrated learnings, so DevOps and IT managers can proactively attend to the issue before anything goes down.
“AIOps platforms utilise big data, modern machine learning and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation and service desk functions) with proactive, personal and dynamic insight. AIOps platforms enable the concurrent use of multiple data sources, data collection methods, analytical (real-time and deep) technologies, and presentation technologies.” – Gartner’s Andrew Lerner
Why do Modern Businesses Need AIOps?
- AIOps gives you access to automated behaviour prediction based on an analysis of infrastructure, applications and users, letting you know in advance of issues that might affect both availability and performance.
- AIOps lets you conduct root cause analysis by identifying and correlating issues across bigger swaths of data.
- AIOps helps you make better-informed decisions by providing you with data-driven recommendations based on both real-time and historical data.
“By 2020, approximately 50% of enterprises will actively use AIOps platforms to provide insights into both business execution and IT operations, which is an increase from fewer than 10% today.” –Gartner, Applying AIOps Platforms to Broader Datasets Will Create Unique Business Insights, July 2016.