Salesforce at Scale By the Bay 2017
At Salesforce we are using Scala to solve some crazy hard AI problems — like how do you automate the creation of machine learning models that work well for different shapes of data? Those topics and more will be covered by our Einstein team at this year’s Scale By the Bay conference. We will also have a booth where you can stop by, chat with our Einstein engineers, and pick up swag.
Here are all of the Salesforce sessions:
Thursday @ 3pm — Real Time ML Pipelines in Multi-Tenant Environments
Come listen to our Director of Engineering Karl Skucha & Lead Engineer Yan Yang share how we’ve architected a multi-tenant machine learning pipeline with Spark Streaming.
Thursday @ 4pm — Introduction to Machine Learning
If you are new to machine learning, check out my talk that will provide a Scala-oriented intro.
Friday @ 11:40am — Fantastic ML apps and how to build them
In this session our Principal Engineer, Matthew Tovbin, shares how we do automatic machine learning tuned for different data shapes.
Friday @ 4pm — Fireworks - lighting up the sky with millions of Sparks
Come learn from our Director of Engineering Thomas Gerber about how we use Spark at scale.
Friday @ 4pm — Functional Linear Algebra in Scala
In this session that’ll blow your mind, our engineer Vlad Patryshev shares some of his research on doing Functional Linear Algebra.
Friday @ 5pm — Panel: Functional Programming for Machine Learning
In this panel, our Head of Engineering for Einstein Vitaly Gordon will moderate a lively discussion about what is next for machine learning with Functional Programming. Our Principal Machine Learning Engineer Leah McGuire will participate to provide the Salesforce perspective.
Saturday @ 11:10am — Just enough DevOps for data scientists.
In this session our Senior SRE Anya Bida will share Site Reliability Engineers fit machine learning systems.
Saturday @ 2:10pm — Complex Machine Learning Pipelines Made Easy
Our Machine Learning Engineers Till Bergmann & Chris Rupley will share how we assembled a machine learning pipeline on top of Spark.
This is gonna be awesome! Hope to see you there.
