Resources
The Tecton library of information on feature stores, technology, use cases, and reference architectures.
Case Studies
Tide Case Study
Tide uses Tecton to accelerate ML model deployment by over 50%, triple the number of features used per model, and save the significant engineering time required to build and maintain an internal feature store.
Videos
Deploying a Fraud Detection Model with Tecton
Tecton Solutions Architect David Hershey walks through a live demo of deploying a fraud detection model using the Tecton Feature Store.
Videos
How Feature Stores Enable Operational ML
Tecton CEO Mike Del Balso dives into how Feature Stores like Tecton and Feast enable operational ML and the specific problems they solve for data teams.
Videos
How Michelangelo ML Enabled Uber To Scale Up Its ML Models | Mike Del Balso – Tecton
Mike Del Balso is the co-founder and CEO of Tecton, where he is focused on building next-generation data infrastructure for Operational ML
Whitepapers
Tecton Feature Store Overview
Learn more about the Tecton feature store and how it brings DevOps principles to the complete lifecycle of ML features
Case Studies
Atlassian Case Study
Atlassian uses Tecton to accelerate deployment of ML models from months to days, and improve model accuracy.
Videos
Accelerating the ML Lifecycle with an Enterprise-Grade Feature Store
Talk from Spark+AI Summit 2020 with Mike Del Balso, Co-Founder and CEO of Tecton, and Geoff Sims of Atlassian.
Podcasts
TWiML Podcast
Feature Stores for MLOps with Mike Del Balso
TWiML podcast on bringing DevOps to ML data with feature stores.
Videos
Feature Stores to Accelerate AI Development
Panel discussion on ML data with industry thought leaders Kevin Stumpf, CTO of Tecton, Willem Pienaar, creator of Feast, and Maxime Beauchemin, creator of Apache Airflow.