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As IT ecosystems undergo digital transformation, organizations must reassess and reshape existing network architectures. The relentless growth of network traffic, coupled with big data aggregation across multi-cloud environments, renders traditional network models for monitoring and decision-making unaffordable and obsolete. Traditional network architectures, integrating the control plane and data plane, face challenges tied to the configuration of physical network devices, supported protocols, and accompanying software. The solution lies in AI and ML-powered network architectures, offering intelligent tools for: - Centralized control - Increased network scalability - Clear network visibility - Improved operational efficiency through automation and intelligence - Processing vast volumes of data - Conducting data analytics - Enhancing security and reducing vulnerability to cyber threats Join us to learn how to harness the Power of AI and ML, redefining and accommodating the expansion of network architectures.