Building Autonomous Networks With AI, Deep Learning, and Telemetry
January 15, 2020 | Jisheng Wang, Head of Data Science, Mist Systems
Deep learning and Artificial Intelligence have helped to fuel the success of many consumer applications such as chatbots, robotics, and autonomous driving. In this session, you will learn empirical cases of using machine learning, deep learning, and AI to build the first autonomous enterprise network operation solution that automatically monitor, detect, troubleshoot, and remediate most user-impacting issues in an enterprise network.
[caption caption="Jisheng Wang Head of Data Science, Mist System " align="right"]
We will introduce the detailed architecture and framework with an emphasis on measurement, detection, orchestration, and action, together with a couple of machine learning/deep learning examples of applying models to solving real-world problems like NLP-based firmware log mining etc. Along with new Artificial Intelligence tools and technologies, we’ll also discuss the challenges of applying machine learning/deep learning in enterprise applications, along with our suggestions to help you overcome them.