AIOpsor the use of artificial intelligence in the field of IT monitoring operations.
Take advantage of the latest IT developments in AIOps to implement Big Data Analytics, Artificial Intelligence (AI) and Machine Learning. And give new perspectives to your monitoring tool.
for the monitoring of your IT performance.
How does ServiceNav use Artificial Intelligence? By exploiting the various levers of AI, such as aggregation, analytics, algorithms, automatic learning, etc.
An analytical powerhouse: real time data to power your analysis.
Only an application architecture built from the outset to process the volumes and variety of monitoring data in real time can meet these AIOps challenges. This is the undertaking of the architecture of the ServiceNav platform.
The first use case on which our R&D teams have applied the AIOps platform capabilities of ServiceNav: alert forecasting.
Alert prediction is a feature recently developed by our R&D team, by implementing AIOps within the ServiceNav tool. The objective is to anticipate the occurence of alerts, to enable preventive maintenance even before alerts are triggered.
AIOps monitoring platform
AIOps monitoring platforms combine multiple data source collection, big data architecture and machine learning, unified interface, to provide a unique experience for users of IT production, and consumers of IT services. The development of ServiceNav is part of this revolution and aims to produce advanced scenarios, without sacrificing the ergonomics and simplicity recognised by our customers: reduction of false positives, detection of anomalies, cause determination.