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April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Crossing the enterprise AI chasm

This will be presented in English.

Simon Chan (Salesforce)
11:1511:55 Thursday, April 12, 2018
企业人工智能 (AI in the Enterprise), 英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B) Level: Beginner
Secondary topics:  设计AI平台(Designing AI platforms)

您将学到什么 (What you'll learn)



Understand the the chasm between AI research and real AI applications

Learn considerations for implementing AI product plans

描述 (Description)


Building an end-to-end AI application in production is tremendously more complicated than simply doing algorithm modeling in a lab. Simon Chan explains how to cross the gap between AI research fantasy into real-world applications. Drawing on his experience building the PredictionIO and Salesforce Einstein platforms, Simon details how enterprises navigate the end-to-end machine learning application development journey and shares the ongoing challenges that cloud-based AI dev platform providers face when they try to enable developers to build large-scale customized predictive applications in production environments.

In particular, Simon covers the 10 steps to bring AI into production:

  1. Define the prediction use case
  2. Decide on the intelligent app presentation
  3. Import the right data
  4. Construct potential features for modeling
  5. Specify labels
  6. Find the right model
  7. Set evaluation metrics
  8. Serve predictions
  9. Collect feedback for improvement and evaluation
  10. Keep monitoring and be crisis ready




1. 定义预测的业务场景

2. 确定智能App的表现

3. 导入正确的数据

4. 为模型构建潜在的特征

5. 指定标注数据

6. 找到正确的模型
7. 设置评估指标

8. 进行预测

9. 为改进和评估收集反馈
10. 持续监测并为危机做好准备

Photo of Simon Chan

Simon Chan


Simon Chan is a senior director of product management for Salesforce Einstein, where he oversees platform development and delivers products that empower everyone to build smarter apps with Salesforce. Simon is a product innovator and serial entrepreneur with more than 14 years of global technology management experience in London, Hong Kong, Guangzhou, Beijing, and the Bay Area. Previously, Simon was the cofounder and CEO of PredictionIO, a leading open source machine learning server (acquired by Salesforce). Simon holds a BSE in computer science from the University of Michigan, Ann Arbor, and a PhD in machine learning from University College London.