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1. Powering network analytics with machine learning & AI

   From energy grids to advanced smart cities, from space travel to military missions: data-dependent industry verticals need real-time network traffic analytics to manage the growing number of encrypted applications and services. In this article, we discuss the integration of artificial intelligence (AI) and machine learning (ML) into network analytics, with a particular focus on the challenges posed by encryption and how these technologies improve visibility and understanding of network traffic. Explore the essential shift to next-gen DPI for a compelling journey in network analytics.

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