How to Make the Jump From Batch to Real-Time Machine Learning

April 27, 2023

When is it time for your org to move from batch to real-time machine learning and how do you know when you're ready to make the move? This post covers that and more.

Machine Learning Recommender Systems: 4 Key Insights From apply(recsys)

February 13, 2023

Recommender systems are a widespread use case for machine learning. In this post, we summarize four major takeaways from apply(recsys) that any team interested in rec(sys) should keep in mind.

6 Themes From the May 2022 apply() Conference

November 16, 2022

apply() is Tecton’s ML data engineering conference that discusses how teams can include ML in their products. Discover 6 themes in our recap of the May 2022 apply() conference.

What Is Real-Time Machine Learning?

October 12, 2022

Real-time ML is when an app uses an ML model to autonomously and continuously make decisions that impact the decision in real time. Read to learn about the journey to real-time ML.

apply(meetup): Announcing the Speaker Lineup for February 10

January 27, 2022

We're excited to host the next apply(meetup) this February 10th from 8:30 am to 1:30 pm PT. The event is free and entirely virtual, making it easy for everyone to attend and participate.

Journey to Real-Time Machine Learning

August 9, 2021

We speak with hundreds of enterprise machine learning teams every year. And we’ve observed a typical pattern for the adoption of machine learning in the enterprise. Not every organization follows the exact same steps, but we’ve seen the pattern …

apply(meetup): Announcing the Speaker Lineup for August 11

July 20, 2021

Here we go again! It seems like just yesterday we were hosting the first iteration of apply(). Now back by popular demand, we’re hosting apply(meetup) on August 11th from 9am to 12pm Pacific Time

apply() Conference Recap

May 25, 2021

Last month, on April 21 and 22, Tecton hosted apply(): the ML data engineering conference to share the latest best practices in ML data engineering. The conference brought together industry thought leaders and practitioners from over 30 leading …

Tecton Named Gartner Cool Vendor

May 18, 2021

We’re excited to announce that Tecton has been named a 2021 Gartner Cool Vendor in Enterprise AI Operationalization and Engineering(1). This is great recognition for Tecton’s vision of solving the data problem for ML by making feature stores …

Tide Deploys Models 2x Faster with Tecton’s Feature Platform

March 4, 2021

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 …

Atlassian Deploys New Features in 1 Day with Tecton’s Feature Platform

February 23, 2021

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 …