Navigating the MLOps Landscape: 4 Key Insights From apply(ops)

December 19, 2023

Check out this blog post for the 4 major takeaways from apply(ops), which featured talks from Uber, HelloFresh, Riot Games, and more.

Key Takeaways From Ray Summit

October 11, 2023

Read this post for a summary of interesting announcements, learnings, and insights from Ray Summit, from LLMs and RAG, to generative AI and predictive ML.

Machine Learning for Risk & Fraud Detection: 4 Key Insights From apply(risk)

July 28, 2023

apply(risk), the biggest online conference for fraud detection in the ML community, featured many informative talks. Check out this post for four major takeaways from the event.

FanDuel Leverages Tecton’s Feature Platform for a Winning Machine Learning Strategy

April 19, 2023

FanDuel, the premier online gaming company in North America, shared at why and how they adopted Tecton to power their ML models and data-driven applications.

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.

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.

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() Highlight: How to Use Fast & Fresh Features for Online Predictions

July 7, 2021

Online inference can significantly increase the impact of a machine learning model by incorporating fresh data. For example, if we’re building product recommendations for an e-commerce site, our model will benefit from information about what …

apply() Highlight: How Feature Logging Enables Real-Time ML

June 17, 2021

Generating training data for an online, real-time machine learning system can be tricky. In order to guard against temporal data leakage, training events must use only historical features that were valid as of that point in time. This requires …

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 …

Announcing apply()’s Speaker Lineup

March 31, 2021

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 …