Welcome to the Tecton blog
Our thoughts on extracting ML signal from the data noise
What Is Operational Machine Learning?
Tecton's founders started Uber Michelangelo, which led to an explosion of operational machine learning applications at Uber. In this article, Kevin Stumpf, Co-founder and CTO at Tecton, describes what operational ML really is and gives practical examples to understand how it works Read More
Why Centralized Machine Learning Teams Fail
How should you organize an ML team? Do centralized data teams work? In this article, David Hershey, solutions architect at Tecton, describes a common pattern we've seen across hundreds of companies using machine learning: centralized data teams don't work. Read More
Why Feature Stores Should Extend, Not Replace, Existing Data Infrastructure
During apply(meetup), Ben Wilson, from Databricks, gave a lightning talk on how ML projects shouldn't be built in isolation. At Tecton, we believe that great ML infra should integrate deeply with existing data infrastructure while providing ML-specific APIs to make data scientists productive. Read More
Our Culture and Values
Before starting Tecton, Mike and I were at Uber for several years. Uber had a unique culture. It motivated people to work hard, move fast, and build a business that impacts millions of people at incredible speed. But it also … Read More
Building Production-Ready Machine Learning Features on Snowflake with Tecton’s Feature Store
We are excited to announce the integration of Tecton’s enterprise feature store and Feast, the popular open source feature store, with Snowflake. The integration, available in preview to all Snowflake customers on AWS, will enable data teams to securely and … Read More
How to Use Snowflake With Tecton
You want to build production machine learning on top of Snowflake. So how do you do that? If you’re a Snowflake user who wants to put machine learning into production, great news — we recently announced that Tecton is introducing a … Read More
Delivering Fast ML Features With Tecton & Redis Enterprise Cloud
Authors:Eddie Esquivel, Solutions Architect at TectonEd Sandoval, Product Manager at Redis Real-time machine learning applications are everywhere — from approving credit card transactions as they happen, to immediately generating personalized recommendations for your favorite streaming service. These applications can’t afford any … Read More