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The missing link in digital twin accuracy, scalability and performance
Digital twins are only as powerful as the data that feeds them. This article discusses how deep packet inspection (DPI) provides the essential data foundation for effective digital twin deployments in modern networks. It shows how fine-grained traffic information and application awareness enhances analysis, simulation accuracy, forecasting, and security modelling. It also explores the role of DPI in augmenting AI capabilities embedded in digital twins.
Blog post
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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.
Blog post