Tecton, Author at Tecton

Tecton

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

Apply Conference - April 21st and 22nd from 9:00 AM to 3:00 PM PDT

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

4 Minute Demo of the Tecton Feature Store Platform

Manmeet Gujral from the Tecton team walks through a quick overview and demo of the Tecton Feature Store platform.

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

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

Tecton Feature Store Overview

Learn more about the Tecton feature store and how it brings DevOps principles to the complete lifecycle of ML features

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.

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