Sep 23–26, 2019

Qiyang Li
Program Manager, Microsoft

Qiyang Li is a a program manager at Microsoft, having had worked on big data, machine learning and AI-powered products for years. His recent focus is on time series-anomaly detection and prediction to empower scenarios like AIOps-related operation metrics detection, business metrics detection, and prediction.

Sessions

2:55pm–3:35pm Wednesday, September 25, 2019

Location: 1A 06/07

Introducing a new anomaly detection algorithm (SR-CNN) inspired by computer vision

Data Science, Machine Learning, & AI

Secondary topics: Deep Learning, Temporal data and time-series analytics

Tony Xing (Microsoft), Congrui Huang (Microsoft), Qiyang Li (Microsoft), Wenyi Yang (Microsoft)

Anomaly detection may sound old fashioned, yet it's super important in many industry applications. Tony Xing, Congrui Huang, Qiyang Li, and Wenyi Yang detail a novel anomaly-detection algorithm based on spectral residual (SR) and convolutional neural network (CNN) and how this method was applied in the monitoring system supporting Microsoft AIOps and business incident prevention. Read more.