Being able to foresee problems before they occur is essential! AI's anomaly detection technique enables developers and businesses to find outliers in time series data. In this session, we’ll use data from a smart device to send to the cloud and use Azure Anomaly Detector to catch unexpected data deviations in real-time. In addition, we'll explore how to find the root cause of an anomaly when it occurs. Whether you are a business owner, a developer with no machine learning expertise or a data scientist, you’ll be able to successfully apply the concepts from this session in your application or business.
Use this free learn module to learn more: https://aka.ms/mslearn-ad05042020

Who is this session aimed at?
Developers, Startups, MS Customers

Why should I attend?
You will learn how to integrate Anomaly Detector API into your business workflow and spot issues early before they occur to reduce failures, cost, or even save lives.

Ruth Yakubu is a Principal Cloud Advocate at Microsoft.
Ruth specializes in Java, Advanced Analytics, Data Platforms and Artificial Intelligence (AI). In addition, she's been a tech speaker at several conferences like Microsoft Ignite, O'reilly velocity, Devoxx UK, Grace Hopper Dublin, TechSummit, Websummit and numerous other developer conferences. Prior to Microsoft, Ruth worked for great companies like UNISYS, ACCENTURE and DIRECTV, where she gained a lot of experience with software architectural design and programming. She’s awarded Dzone.com’s Most Valued Blogger.