Here we go again! It seems like just yesterday we were hosting the first iteration of apply(). Now back by popular demand, we’re hosting apply(meetup) on August 11th from 9am to 12pm Pacific Time. This is going to be a lightweight version of the original event, running over just a half day. Like the last time, the event is designed for ML practitioners who want to share and discuss the latest state of ML data engineering. The event will be entirely virtual and free, making it easy for everyone to attend and participate.
We’re honored to have a packed lineup of great speakers. The full agenda is published here. To give you a few of the highlights:
Karan Goel is a PhD student in Computer Science at Stanford, and affiliated with the Stanford AI Lab and the Statistical Machine Learning group. He’ll talk about “Building Malleable ML Systems through Measurement, Monitoring & Maintenance”. We’re excited to have Karan share the latest insight from his research on operationalizing ML systems. Karan will explore the idea of making ML systems more malleable so that they can be maintained like software. He’ll discuss the idea of an evaluation pipeline, the need for finer-grained performance measurement and monitoring, and some of the tools he’s contributing to, including Robustness Gym and Meerkat.
Rand Xie is is a Senior Machine Learning Engineer at Robinhood, focusing on ML serving stack including model serving and feature store. He’ll discuss “How Robinhood Built a Feature Store Using Feast”. This will be an exciting session showcasing how Feast is being used by some large organizations to build a production-ready feature store at scale.
Aparna Dhinakaran, Chief Product Officer at Arize AI, will give a talk on “ML Observability: Critical Piece of the ML Stack”. She’ll discuss the need for better observability tools to monitor, troubleshoot, and explain models running in production. Aparna has a wealth of knowledge on observability from her experiences at Arize and on the Uber Michelangelo platform, and we expect this to be a great session on the topic.
Emily Hawkins, Data Infrastructure Lead at Drizly, is giving a session on “Streaming Architecture with Kafka, Materialize, dbt, and Tecton”. She’ll talk about the exciting world of real time data infrastructure, featuring some of her favorite tools, dbt Labs (formerly Fishtown Analytics) and Materialize.
Don’t miss the full agenda and other exciting talks from Matt Delacour of Shopify, James Campbell of Superconductive, and Willem Pienaar, creator of Feast.
To learn more about apply() and reserve your seat today, simply visit the event website. We’re excited to host the event and see all of you there! Finally, make sure to join the apply() Slack channel to participate in the conversation.