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What You Need to Know About Predictive Network Technology

You may not be able to peek into the future, but predictive network technology can spot and troubleshoot potential problems before they occur.

John Edwards

August 11, 2022

1 Min Read
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It's almost like magic, but predictive network technology is anything but a trick.

Using artificial intelligence (AI) and machine language (ML) mathematical models and algorithms, predictive network technology alerts an organization to network issues as early as possible and offers problem-solving solutions. "The technology enables networks to learn from past instances using massive amounts of data through predictive analytics," explains Titus M, a senior analyst with technology and business research firm Everest Group. "It collects network telemetry data, recognizes trends, and forecasts network difficulties that might negatively impact user experience and offers potential solutions to the issue."

Predictive network technology can also suggest network remediation solutions for automatic or manual implementation, depending on the use case, at the discretion of the IT networking or operation team, says Sam Halabi, technology consulting competency leader at business advisory firm EY.

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About the Author(s)

John Edwards

Technology Journalist & Author

John Edwards is a veteran business technology journalist. His work has appeared in The New York Times, The Washington Post, and numerous business and technology publications, including Computerworld, CFO Magazine, IBM Data Management Magazine, RFID Journal, and Electronic Design. He has also written columns for The Economist's Business Intelligence Unit and PricewaterhouseCoopers' Communications Direct. John has authored several books on business technology topics. His work began appearing online as early as 1983. Throughout the 1980s and 90s, he wrote daily news and feature articles for both the CompuServe and Prodigy online services. His "Behind the Screens" commentaries made him the world's first known professional blogger.

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