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Welcome to the Tecton blog
Our thoughts on extracting ML signal from the data noise
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
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
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
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
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
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