Skip to main content
Blog

Event: How to Build an Enterprise Machine Learning Platform from Scratch

We invite you to join Russell Brooks and Hugo Bowne-Anderson on November 17 to discuss the journey to reproducible and automated ML-powered software. 

Russell Brooks is Principal Machine Learning Engineer at Realtor.com and has worked extensively as a software engineer, data scientist, platform engineer, and machine learning manager.

In this fireside chat, Russell joins Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations, to discuss what building an enterprise ML platform from scratch looks like in practice, including the journeys he experienced at both OpCity and Realtor.com, where he took both organizations from a bus factor of 1 to reproducible and automated ML-powered software.

After attending, you’ll know about

  • The ins and outs of what building an enterprise ML platform from scratch looks like in practice;
  • What questions are key to answer when building an enterprise ML platform from scratch;
  • How to demonstrate the impact of the data and machine learning functions in organizations when doing so;
  • The most impactful ways of collaborating for SWEs, data scientists, platform engineers, and ML engineers,

And much more! An AMA will follow the fireside chat with Russell and Hugo at slack.outerbounds.co.

You can register for the event here. See you there!

Smarter machines, built by happier humans

The future will be powered by dynamic, data intensive systems - built by happy humans using tooling that gives them superpowers

Get started for free