Big Data Analytics Using Advanced Machine Learning

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“Real-Time Anomaly Detection in Streaming Cellular Network Data”

A joint research paper from Argyle Data and Carnegie Mellon University on how to use machine learning to identify anomalous activity in telecom networks.

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Machine learning-based predictive analytics unlocks the power of enterprise big data.

The machine learning analytics market will reach U.S. $12 billion in 2021. Enterprises, financial institutions and communications service providers are applying these breakthrough capabilities in use cases from subscriber validation to OTT traffic analytics, from IoT security to mobile fraud mitigation. That’s why leading enterprises use Argyle Data’s supervised and unsupervised machine learning analytics technology to harness the value of their big data assets.

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