Presented By O’Reilly and Intel AI
Put AI to work
April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

把AI注入BI: Kensho – 微软的自动化商业指标监控和诊断工具

此演讲使用中文 (This will be presented in Chinese)

Tony Xing (Microsoft), Bixiong Xu (Microsoft)
14:5015:30 Friday, April 13, 2018
实施人工智能 (Implementing AI)
Location: 多功能厅5A+B(Function Room 5A+B) Level: Intermediate
Secondary topics:  设计AI平台(Designing AI platforms)

必要预备知识 (Prerequisite Knowledge)

A basic understanding of machine learning—both supervised and unsupervised learning

您将学到什么 (What you'll learn)

Kensho, 一个基于AI的商业指标监控与诊断工具, 我们通过将AI元素注入这个BI工具,从而构建来服务不同的微软团队的历程
Explore pain points from Microsoft customers and Kensho, Microsoft's automated business incident monitoring and diagnostics system

描述 (Description)


在这个议题里, 我们会概述这个领域内的用户痛点,我们会介绍Kensho, 一个基于AI的商业指标监控与诊断工具, 我们通过将AI元素注入这个BI工具,从而构建来服务不同的微软团队的历程。我们的从中学到的经验教训,技术的选择和烟花,架构,算法等等。通过工程+数据科学解决了一个工业界的一个通用需求。

  • 内容
  • 用户痛点
  • 案例研究
  • 技术框架
  • 算法
  • 经验教训

At Microsoft, there is a common need to monitor product and business metrics to stay on top of product and business health and act quickly to address issues deviating from the historical pattern. The need is simple and clear. However, it turns out to be extremely difficult to have a scalable system that is also smart enough to provide automated anomaly detection across a wide spectrum of time series related to business or product performance as well as automated diagnostic insight into why that business incident happens.

Tony Xing and Bixiong Xu explore pain points from Microsoft customers and detail Microsoft’s path to implementing Kensho: an automated business incident monitoring and diagnostics system powered by AI to serve different Microsoft teams. Tony and Bixiong cover lessons learned during the process, the evolution of the technology, the solution architecture, and the algorithms and explain how collectively this combination of engineering and algorithms solve a common need that is applicable not only to Microsoft but the industry as a whole.

Photo of Tony Xing

Tony Xing


Tony Xing is a senior product manager in AIDI (the AI, data, and infrastructure team) within Microsoft’s AI and research organization. Previously, he was a senior product manager on the Skype data team within Microsoft’s Application and Service Group, where he worked on products for data ingestion, real-time data analytics, and the data quality platform.

Photo of Bixiong Xu

Bixiong Xu


Bixiong Xu is the principal dev manager on the AI, data, and infrastructure team at Microsoft.