target audience: TECH BUYER Publication date: Feb 2023 - Document type: IDC Perspective - Doc Document number: # US50027123
Applications of AI for Anomaly Detection
Table of Contents
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Executive Snapshot
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Figure: Executive Snapshot: More and More Organizations Are Embracing AI-Powered Anomaly Detection to Identify Anomalies
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Situation Overview
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AI-Powered Anomaly Detection
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What Are the Various Anomaly Detection Techniques?
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Supervised Anomaly Detection
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Figure: Supervised Anomaly Detection
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K-Nearest Neighbors
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Z-Score
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Decision Tree Algorithm
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Support Vector Machines
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Bayesian Networks
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Unsupervised Anomaly Detection
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Figure: Unsupervised Anomaly Detection
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K-Means Clustering
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Autoencoders
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Isolation Forest
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Local Outlier Factor
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Semi-Supervised Anomaly Detection
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Anomaly Detection on Edge Devices
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Use Cases
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AI-Powered Anomaly Detection in Banking
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AI-Powered Anomaly Detection in Cybersecurity
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AI-Powered Anomaly Detection in Healthcare
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Companies to Watch in the AI-Powered Anomaly Detection Space
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Advice for the Technology Buyer
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Learn More
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Related Research
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Synopsis
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