September 5, 2017
In a recent blog post, Gartner analyst Colin Fletcher provided an official definition for AIOPs (Artificial Intelligence for IT Operations) platforms:
AIOps platforms utilize 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.
As stated in the definition above, there are multiple data sources that different AIOPs platforms use including log data, wire data, metrics, document data and more.
At VNT Software we use wire data as our primary data source because it is the only way to auto-discover and classify everything on the network without any prior knowledge and it is the only realistic way to keep up with your hyperdynamic environment.
Using wire data analytics we can:
IT events without their business context don’t really mean anything – it is the business insight that really matters, and by using wire data we are able to uncover the hidden business context and enable the magic of predictive analysis of business service events.
Note: VNT Software was recently listed in the recent Gartner Market Guide for AIOps Platforms (ID: G00322184; Published: 3 August 2017), and we are very proud to be there.