How AI is finding patterns and anomalies in your data

As artificial intelligence (AI) and machine learning (ML) become more developed, organizations are discovering innovative ways to use these technologies to help them identify actionable insights and drive greater efficiency. In this article, you'll learn about the pattern-matching capabilities of #AI and how they are being implemented to help businesses uncover the true potential of their data, empowering them with new perspectives about their businesses processes.

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From autonomous vehicles, predictive analytics applications, and facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI span dozens of industries. Regardless of the AI application, though, these use cases all have a common aspect. After implementing thousands of AI projects, experts have come to realize that despite all of the diversity in applications, AI use cases fall into one or more of seven common patterns. One of them—the pattern-matching pattern—has allowed machines to digest large amounts of data to identify patterns, anomalies, and outliers in the data, so organizations can unearth previously undiscovered insights in their datasets.

In this article, you’ll learn how pattern-matching is being put to use in today’s organizations to prevent fraud, find the best job candidates, manage inventories in times of crisis, and empower data scientists with new perspectives on how to improve critical processes.

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