How Coinbase Builds Sequence Features for Machine Learning

May 13, 2025

How Coinbase productionizes user sequence features with Tecton and Databricks to power fraud and recommendation ML models.

Feature PlatformsFraud DetectionOperational & Real-Time Machine LearningPartners & Integrations

Preventing Model Decay: Tecton + Fiddler for ML Drift Detection

May 8, 2025

Build drift-aware ML systems with Tecton's feature engineering and offline/online serving plus Fiddler's feature and model drift analysis.

Feature PlatformsFeature StoresPartners & Integrations

How Tecton and Taktile Power Real-Time Risk Decisions at Scale

May 5, 2025

Learn how Tecton and Taktile enable fraud and risk teams to iterate faster, reduce fraud losses, and make more accurate decisions at scale.

Fraud DetectionFeature PlatformsOperational & Real-Time Machine LearningPartners & Integrations

Why Feature Freshness Makes or Breaks Fraud Detection

April 8, 2025

Learn why feature freshness stops fraud. Real-time data catches attacks instantly, while batch systems create windows for more fraudulent transactions.

Fraud DetectionOperational & Real-Time Machine Learning

Understanding the Feature Freshness Problem in Real-Time ML

March 10, 2025

How quickly can your ML system capture and act on recent user signals? For time-sensitive applications like fraud detection and recommender systems, the most recent events are often the most relevant predictive signals. Like a user’s browsing …

Customer StoriesOperational & Real-Time Machine Learning

Fighting Fraud in Real-Time: North’s Journey to Smarter, Faster ML

January 9, 2025

How North built a real-time fraud detection system that processes millions of payments using machine learning. A technical overview of their ML architecture, challenges, and solutions.

Customer StoriesOperational & Real-Time Machine LearningFraud Detection

Production ML: 6 Key Challenges & Insights—an MLOps Roundtable Discussion

January 24, 2024

Navigating the journey from a promising ML concept to a robust, production-ready application is filled with challenges. Teams need to establish efficient data pipelines, understand and attribute their costs, and design organizational processes that …

Thought Leadership

How Do Real-Time Features Work in Machine Learning?

September 6, 2023

Learn more about real-time ML features and their benefits in this blog post.

Operational & Real-Time Machine Learning

The State of Applied Machine Learning 2023

July 20, 2023

Ever wonder what the most common use cases are for applied ML? Or how fast companies are adopting MLOps solutions? Or what the main challenges are when adopting applied ML? Over 1,700 ML practitioners—from data science to ML and data …

Operational & Real-Time Machine Learning

The Power of Tecton for Batch Machine Learning

June 20, 2023

Explore how Tecton’s feature platform for machine learning supports batch, streaming, and real-time data to meet the unique requirements of ML use cases.

Feature StoresFeature Platforms

Q&A: Making the Move to Real-Time Machine Learning

May 3, 2023

In this post, we share some of the questions asked by attendees during a recent webinar about making the move from batch to real-time ML.

Operational & Real-Time Machine Learning

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.

Operational & Real-Time Machine Learning