Multi-Modal AI

Ingests metrics, analyzes anomalies, correlates events across data sources to feed automated remediation

Enabling Technology Overview

What is Multi-Modal AI?

Using a variety of AI and ML techniques, multi-modal AI sifts out noise and preprocesses raw data. This process aggregates, normalizes, and standardizes the data in preparation for analytics to begin. Furthermore, it enables proactive alerting on known scenarios that can trigger automation.

BENEFITS

How it works

Smart

Uses various AI techniques to identify and diagnose business-impacting incidents, including causal, predictive, and generative algorithms

Efficient

Helps reduce the number of alerts IT must triage and prioritizes the remaining events by identifying business impact

Scales

Analyzes vast amounts of data quickly and accurately to provide insights that aid decision-making

Simple. Smart. Open.

The Riverbed Platform

Watch the video to learn how the Riverbed Observability and Optimization Platform helps seamlessly connect all your observability data to prevent, identify, and resolve complex issues faster.

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