Yun Freund, a VP at Google Cloud, delivers a keynote address on AI-Powered Network 5.0 at NANOG, differentiating between automated and autonomous networks and highlighting use cases such as autonomous network operation, business process optimization, and AI-powered predictive networking. She emphasizes the potential of AI and deep learning to enhance network efficiency, reliability, and cost-effectiveness, drawing parallels with advancements in other fields like weather forecasting and autonomous vehicles. Following the presentation, Yun answers questions from the audience, addressing concerns about centralized control versus distributed autonomy, the challenges of replicating complex networks in digital twins, the depth of simulation in digital twins, and strategies for organizations to begin exploring AI-powered networks, including the importance of data integration and operational efficiency.
Sign in to continue reading, translating and more.
Continue