Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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Model governance and model ops in the enterprise

Harish Doddi (Datatron), Jerry Xu (Datatron Technologies)
11:15–11:55 Wednesday, 1 May 2019
Data Engineering and Architecture
 Location: Capital Suite 2/3
Secondary topics:  Model lifecycle management
Average rating: *****
(5.00, 1 rating)

Who is this presentation for?

  • CIOs, CDOs, CTOs, VPs of engineering, and VPs of data science

Level

Intermediate

What you'll learn

  • Lessons learned and best practices for scaling machine learning models

Description

As more and more business decisions are made by machine learning models, do you know why your model made a decision? Is it biased? Can you find out which version of your model was in production two months ago? Are you getting alerts if your model is under malicious attack? Is your model performing as it was trained? Is there any concept drift happening?

Harish Doddi and Jerry Xu share the challenges they faced scaling machine learning models and detail the solutions they’re building to conquer them.

Photo of Harish Doddi

Harish Doddi

Datatron

Harish Doddi is cofunder and CEO of Datatron. Previously, he held roles at Oracle; Twitter, where he worked on open source technologies, including Apache Cassandra and Apache Hadoop, and built Blobstore, Twitter’s photo storage platform; Snap, where he worked on the backend for Snapchat Stories; and Lyft, where he worked on the surge pricing model. Harish holds a master’s degree in computer science from Stanford, where he focused on systems and databases, and an undergraduate degree in computer science from the International Institute of Information Technology in Hyderabad.

Photo of Jerry Xu

Jerry Xu

Datatron Technologies

Jerry Xu is cofounder and CTO at Datatron Technologies. An innovative software engineer with extensive programming and design experience in storage systems, online services, mobile, distributed systems, virtualization, and OS kernels, Jerry also has a demonstrated ability to direct and motivate a team of software engineers to complete projects meeting specifications and deadlines. Previously, he worked at Zynga, Twitter, Box, and Lyft, where he built the company’s ETA machine learning model. Jerry is the author of open source project LibCrunch. He’s a three-time Microsoft Gold Star Award winner.