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Welcome to the Tecton blog

Our thoughts on extracting ML signal from the data noise

FEATURED POST

Posted by  Mike Del Balso
October 20, 2020

What is a Feature Store?

Posts

Announcing Feast 0.10

Today, we’re announcing Feast 0.10, an important milestone towards our vision for a lightweight feature store.  Feast is an open source feature store that helps you serve features in production. It prevents feature leakage by building training datasets from your … Read More

Posted by  Tecton
April 15, 2021

How to Build a Fraud Model with a Feature Store

Many companies with platforms that involve financial transactions are looking to bring them in-house to some degree as they can have more control over the user experience and usually save money on transaction fees over outsourced solutions. While the advantages … Read More

Posted by  Jack Wells
April 5, 2021

Announcing apply()’s Speaker Lineup

Tecton is hosting apply(): the ML Data Engineering conference on April 21 and 22, bringing together industry thought leaders and practitioners from over 30 organizations to share and discuss the current and future state of ML data engineering. This conference … Read More

Posted by  Tecton
March 31, 2021

How Machine Learning Teams Share and Reuse Features

What does an “ML-enabled” company look like? The companies that come to mind, like Uber, Twitter, or Google, have tens of thousands of machine learning (ML) models in production. They use these models to make intelligent predictions across the business … Read More

Posted by  Jay Parthasarthy
March 29, 2021

Data Software-as-a-Service: The Case for a Hybrid Deployment Architecture

Lior Gavish & Kevin Stumpf As founders of companies that build solutions designed to help teams deliver on the promise of data, we knew we wanted to build great products that are easy to deploy and manage for our customers.  … Read More

Posted by  Kevin Stumpf
March 17, 2021

Tide Deploys Models 2x Faster with Tecton

50% improvement Time to deploy new models to production decreased to just 1 month from 2 – 4 months. 9 months Engineering time recovered from continuing to build internal feature store. 3 engineers Resources repurposed from maintaining internal feature store. … Read More

Posted by  Tecton
March 4, 2021

Atlassian Deploys New Features in 1 Day with Tecton

200k Customer interactions improved per day 1 Day Time to build and deploy new features 2-3 Engineers Resources repurposed from maintaining internal feature store Atlassian builds tools that help teams collaborate and create together, including Jira Software and Confluence. To … Read More

Posted by  Tecton
February 23, 2021

Amazon SageMaker and Tecton: How to Choose the Right Feature Store on AWS

Amazon recently introduced SageMaker Feature Store, recognizing that one of the largest challenges facing data science teams is building and serving high-quality machine learning features both in training and in production. The team at Tecton could not agree more with … Read More

Posted by  David Hershey
December 10, 2020

Feature Store in General Availability & Series B Funding

Today marks a big milestone for Tecton. We’re excited to announce that the Tecton feature store is now in General Availability, and that we have raised $35 Million in Series B funding from our existing lead investors, Andreessen Horowitz and … Read More

Posted by  Mike Del Balso
December 6, 2020

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