Tecton

Welcome to the Tecton blog

Our thoughts on extracting ML signal from the data noise

FEATURED POST

Posted by  Kevin Stumpf
July 8, 2022

What Is a Feature Platform for Machine Learning?

Posts

Production Machine Learning Application in 15 Minutes With Tecton and Databricks

In this post, I’ll show how you can dramatically simplify these challenges with the right tools. With Tecton and Databricks, you’ll be able to build the MVP for a real-time machine learning (ML) system in 15 minutes, including real-time data processing and online inference. … Read More

Posted by  David Hershey
August 4, 2022

Share

Share

Managing the Flywheel of Machine Learning Data

In this post, I’ll explain what the machine learning flywheel is and what the challenges are today—particularly around ML data, which is the lifeblood of any ML application. … Read More

Posted by  Mike Del Balso
July 28, 2022

Share

Share

Tecton Raises $100M in Series C Funding

In 2019, when Kevin and I decided we wanted to help companies put machine learning into production, we knew the road ahead would be anything but boring. Not only were we on a mission to solve one of the toughest … Read More

Posted by  Mike Del Balso
July 12, 2022

Share

Share

Deploying Real-Time Predictive Applications with Databricks

We are thrilled to announce our partnership with Databricks, the Data and AI Company and pioneer of the data lakehouse paradigm, to help organizations build and automate their machine learning (ML) feature pipelines from prototype to production. Available to all … Read More

Posted by  Pauline Brown
June 22, 2022

Share

Share

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

Posted by  Kevin Stumpf
May 26, 2022

Share

Share

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

Posted by  David Hershey
May 16, 2022

Share

Share

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

Posted by  Mike Del Balso
May 11, 2022

Share

Share

Emma Peng

Our blog series, Featured Tectonauts, highlights the amazing characters we get to interact with daily here at Tecton. … Read More

Posted by  Emma Peng
May 9, 2022

Share

Share

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

Posted by  Kevin Stumpf
April 18, 2022

Share

Share

Request a free trial

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Tell us a bit more...​

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Request a free trial

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​