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

A Closer Look at the Latest Feature Engineering Workflow Improvements in Tecton 0.6

March 31, 2023

Tecton 0.6 makes it easier to iterate on feature engineering workflows by providing a number of capabilities that make it easier to develop, test, and deploy ML features.

Feature PlatformsFeature StoresProduct Updates

Notebook-Driven Development with Tecton 0.6: Combating Fraud and Optimizing Dynamic Pricing

March 20, 2023

Notebook-driven development is a flexible and efficient approach that enables data scientists, ML engineers, and data engineers to define features in Python notebooks while constructing ML models.

Feature PlatformsFeature StoresFraud Detection

Tecton 0.6 Enables Data Teams to Improve Iteration Speed When Building Batch, Streaming & Real-Time Features

March 15, 2023

The 0.6 release aims to provide a seamless transition from notebook development to production, the first feature platform to offer this capability

Feature PlatformsFeature Stores

Challenges of Feature Monitoring for Real-Time Machine Learning

January 26, 2023

To be successful with machine learning, you need to do more than just monitor your models at prediction time. You also need to monitor your features and prevent a “garbage in, garbage out” situation. However, it’s extremely hard to detect …

Operational & Real-Time Machine Learning

Top 3 Benefits of Implementing a Feature Platform

January 17, 2023

From healthcare and online retail to meal kits and financial services, companies across industries are deploying real-time machine learning applications. This creates ever-increasing demands on ML engineering teams, which, in turn, need the support …

Feature Platforms

Choosing the Right Feature Store: Feast or Tecton?

December 22, 2022

See a side-by-side deep-dive comparison of Feast and Tecton.

Feature PlatformsFeature Stores

Feature Store vs. Feature Platform

October 19, 2022

In part 2 of this 3-part series, we outline the differences between a feature store and a feature platform, and how they can help you overcome common challenges when building real-time ML in production.

Feature StoresFeature Platforms

Real-Time Machine Learning Challenges

October 19, 2022

In Part 1 of this series, we do a deep dive into the most common challenges of building real-time ML in production and why they're so challenging. Future posts will talk about how companies solve these challenges.

Feature PlatformsFeature Stores