Azure Mobile Development Enterprise Architecture
Time-series data is more than just numbers. Identifying patterns and trends is important, but monitoring and detecting abnormalities in your data are relevant tasks that helps businesses to adapt and solve problems.
Anomaly Detector is an Azure AI service that helps you foresee problems before they occur. Through an API, this service ingests time-series data and selects the best-fitting detection model for your data to ensure high accuracy.
In this session, the Anomaly Detector service will be described, including terms, algorithms, parameters, costs, and best practices. A mobile app that analyzes time-series data and finds anomalies will be used to demonstrate the service.
I'm a Microsoft MVP in Developer Technologies and AI. I am currently pursuing a PhD in Engineering Informatics at Tomas Bata University in Zlin, Czech Republic.
I've been developing .NET apps for +10 years. I find C# a really powerful language which allow us to create different kinds of software. I focus on mobile apps (Xamarin), cloud computing (Azure) and AI.
I enjoy sharing my knowledge with others.