Automating ML Pipelines with Production-First Data

As teams look to build and deploy models into production, they need tools that can adequately scale with them. In particular, the tools they need must allow them to quickly monitor, segment, retrain, and experiment on the data.

Join Oryan Omer, Lead Software Engineer at Superwise and Harpreet Sahotar, Developer Relations at Pachyderm as they discuss:

🔘 Best practices for handling large amounts of data in your data warehouses
🔘 How to architect a scalable and automated platform
🔘 A retraining example using Jupyter Notebooks, Pachyderm, and Superwise

🕐 June 1st, 1:00pm ET
🌎 Join from anywhere
🎟 Attendance is FREE
➡️ Details and RSVP here: https://info.datascience.salon/automating-ml-pipelines-with-production-first-data