The last decade has witnessed an unprecedented surge in the complexity, scale, and dynamism of digital networks. As organizations embrace cloud computing, 5G, IoT, and artificial intelligence, their networks have evolved into intricate ecosystems with thousands of interconnected devices and services. Managing, optimizing, and securing these networks using traditional approaches has become increasingly challenging. The stakes are high: downtime or security breaches can lead to significant financial losses, reputational damage, and even threats to public safety.

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Digital Twins for AI-Driven Network Simulations

  • Het Mehta

摘要

The last decade has witnessed an unprecedented surge in the complexity, scale, and dynamism of digital networks. As organizations embrace cloud computing, 5G, IoT, and artificial intelligence, their networks have evolved into intricate ecosystems with thousands of interconnected devices and services. Managing, optimizing, and securing these networks using traditional approaches has become increasingly challenging. The stakes are high: downtime or security breaches can lead to significant financial losses, reputational damage, and even threats to public safety.