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Proactive Monitoring is the Main Benefit of AI-powered Log Analysis

April 2017: Loom Systems conducts a webinar about applying AI to root-cause analysis,

During which we asked more than 500 DevOps engineer to name the purpose they would implement AI-powered log analysis for.


The vast majority (68%) confirmed what we already knew. The ideal use of AI in an IT operations is for proactive detection of problems.



What do we mean by Proactive Detection?

In today’s IT world, our mind is split between dozens of alerts and notifications from various sources; whether it’s your monitoring platform, your colleague, or worse– your customer. AI gives hope, and allows us to get ahead of the game.


AI can serve you as your hunting dog, that has one single well-defined purpose – to find problems, anywhere, in real-time.  Using AI to be your focused, dedicated problem hunter, to seek out issues and help you win the day.


On July 26th at 1pm EDT, during our webinar, we will present a way to adopt a more proactive approach in monitoring IT environments to prevent issues before anything breaks.


Join our webinar - Proactive Monitoring: Playing Offense for the Win



Loom Systems delivers an AIOps-powered log analytics solution, Sophie, to predict and prevent problems in the digital business. Loom collects logs and metrics from the entire IT stack, continually monitors them, and gives a heads-up when something is likely to deviate from the norm. When it does, Loom sends out an alert and recommended resolution so DevOps and IT managers can proactively attend to the issue before anything goes down.
Get Started with AIOps Today!

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