Whether your organization needs to monitor cybersecurity threats, fraudulent financial transactions, product defects, or equipment health, artificial intelligence (AI) can help catch data abnormalities before they impact your business. AI models can be trained and deployed to automatically analyze datasets, define “normal behavior,” and identify breaches in patterns quickly and effectively. These models can then be used to predict future anomalies. With massive amounts of data available across industries and subtle distinctions between normal and abnormal patterns, it’s critical that organizations use AI to detect anomalies that pose a threat.

• Learn how to build AI-based approaches to solve a specific use case: identifying network intrusions for telecommunications

• Learn how to use AI to detect anomalies across various industry applications.

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