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AI for Networks: Capacity Planning

Welcome to the first part of our AI for Networks series, where we explore the power of artificial intelligence in optimizing network capacity planning. In this episode, our solution architect, Tomasz Janaszka, delves into capacity planning for networks and how AI can benefit the process. Capacity planning is a key element in ensuring efficient and effective network performance. It involves determining the right amount of resources, such as link bandwidth and device forwarding capacity, needed to meet the demands of the network and its users. However, traditional capacity planning methods often fall short in accurately predicting future needs, resulting in over-provisioning or under-provisioning of network resources, in turn leading to wasted costs or performance bottlenecks. Enter AI. With its advanced algorithms and machine learning capabilities, AI has the potential to transform capacity planning for networks. In this video, we'll explore how AI can make intelligent predictions to optimize capacity planning, resulting in better resource usage, improved network performance, and cost savings. Whether you're a network professional, an AI enthusiast, or simply curious about the intersection of artificial intelligence and networks, this video is a must-watch. Don't forget to like, comment, and subscribe to our channel for more insightful videos on cutting-edge technologies! Sign up to our newsletter to stay up to date: https://codilime.com/newsletter/ Chapters: 00:00 AI for networks: Introduction 00:30 Capacity planning in networks 01:11 AI in capacity planning 01:52 Capacity planning with AI - example 02:51 Capacity planning with historical data 04:02 Benefits of capacity planning with AI 07:10 Thank you for watching