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

March 31, 2023 by

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. Tecton’s Feature Platform ultimately saves development time and makes it …

Feature PlatformsFeature StoresProduct Updates

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

March 20, 2023 by

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

5 Signs You Need a Feature Platform

March 17, 2023 by ,

Discover if your ML team should be using a feature platform. Learn how a feature platform can help streamline your ML pipeline, improve model accuracy, and increase team collaboration.

Feature PlatformsOperational & Real-Time Machine Learning

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

March 15, 2023 by

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

Top 3 Benefits of Implementing a Feature Platform

January 17, 2023 by

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 by ,

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

Feature PlatformsFeature Stores

Feature Store vs. Feature Platform: Which One Is Right for Your Team?

October 19, 2022 by ,

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 by ,

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

What Is a Feature Platform for Machine Learning?

July 8, 2022 by

Tecton CTO Kevin Stumpf explains in this post the differences between a feature store and feature platform for machine learning.

Operational & Real-Time Machine LearningFeature Platforms