State of the art introduction to the theory and practice of artificial intelligence, machine learning, deep learning, analytics, logical reasoning systems, neural networks, probability models, etc.

ML techniques and statistical models can be used for descriptive, diagnostic, predictive, and prescriptive analysis.

ML can help with Proactive Network Monitoring, Root Cause Analysis and Predictive capacity planning.

The data source in Wi-Fi network is very big and extremely dynamic. For example, the “data rate”, “retries” vary for every transmission. The reason for not able to “construct” the received message are specific for each message. The manual classification and analysis of this data is infeasible and uneconomic.

Fundamental challenge in Wi-Fi network is to manage and allocate resources to meet user centric traffic demands under difficult constraints. Today, optimization relies on engineering knowledge and manual processing and analysis. AI can help with automated closed loop optimizations at runtime.

ML is essential for Behavioral analytics for detecting attacks, automatically analyzing varied data from multiple perspectives, and identifying the relationships between disparate actions. This will help with fast resolution and sometimes preventing security incidents.