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Noise Reduction 2018-09-03T17:42:49+00:00

Algorithmic Alert Reduction

Decrease Your Alerts by 90% or More

Moogsoft AIOps automatically reduces IT event volumes using unsupervised machine-learning algorithms that work across infrastructure, application, and user experience, both historical and streaming.

Eliminate Operational Noise

We automatically reduce your event volumes so you can detect problems earlier and resolve them faster. Best of all, our unsupervised machine-learning algorithms work across any event source — infrastructure, application, and user experience, both historical and streaming.

Learn: Entropy & The Science of Noise >>

Moogsoft AIOps automatically reduces IT event volumes using unsupervised machine-learning algorithms that work across infrastructure, application, and user experience, both historical and streaming.

No Data Scientists Needed

Our technology works out-of-the-box, and requires no historical training. Now you can focus on resolving issues quickly, instead of wasting time managing rules, filters, models, and thresholds.

Learn: The Operational Dilemma >>

Moogsoft AIOps works out-of-the-box, and requires no historical training.

“Moogsoft AIOps correlates and normalizes all of our monitoring data, allowing us to focus on the exceptions — and the numbers are staggering.”

– SAP SuccessFactors

Moogsoft AIOps uses patented algorithmic technologies like Automatic Deduplication, Alert Ranking, and Noise Reduction to analyze the volumes of data that human operators cannot keep up with.

Let Algorithms Do the Heavy Lifting

We do the grunt work for you so you can tackle more important tasks. Patented algorithmic technologies like Automatic Deduplication, Alert Ranking, and Noise Reduction stop you from analyzing endless data streams so you can start beating your SLAs.

Learn: Understanding the Machine Learning in AIOps >>

Moogsoft AIOps uses patented algorithmic technologies like Automatic Deduplication, Alert Ranking, and Noise Reduction to analyze the volumes of data that human operators cannot keep up with.