Tuesday, October 13, 2020
How AI is finding patterns and anomalies in your data
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.
Subscribe to:
Post Comments (Atom)
Are you ready to spin up and scale out the modernized apps to drive your business forward? Reply and the Microsoft @Azure experts at Lantel Cloud will be in touch to guide you on the path to app modernization.
Are you ready to spin up and scale out the modernized apps to drive your business forward? Reply and the Microsoft @Azure experts at Lantel ...
-
Ensuring that only authorized end users and applications can access your enterprise data is fundamental to strong IT security. But tradition...
-
One thing that has always been true about passwords is that people are typically very predictable when creating them. This is a contributing...
-
Data security is a constant concern of CISOs and business executives. To better understand the security issues, Microsoft partnered with the...
No comments:
Post a Comment