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.


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.


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.


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


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.


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.


TWiML Podcast
Feature Stores for MLOps with Mike Del Balso

TWiML podcast on bringing DevOps to ML data with feature stores.


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.

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