How Tecton Helps ML Teams Build Smarter Models, Faster

April 5, 2024

In the race to infuse intelligence into every product and application, the speed at which machine learning (ML) teams can innovate is not just a metric of efficiency. It’s what sets industry leaders apart, empowering them to constantly improve …

Combining Online Stores for Real-Time Serving

October 10, 2023

Tecton uses Redis or DynamoDB as an online store for production machine learning. This post provides examples that use both databases together

Optimizing Feature Materialization Costs in a CI/CD Environment

September 18, 2023

Managing dev/test/prod environments for a feature store/feature platform can come with some unique considerations, especially when trying to control costs. Read about Tecton's best practices in this area in this post.

Why You Need to Incorporate Machine Learning Into Your Search Ranking System

August 8, 2023

Learn how to build a search-and-ranking system to deliver contextualized and personalized search experiences, and how feature platforms can help streamline the process.

5 Ways a Feature Platform Enables Responsible AI

August 1, 2023

Generative and Responsible AI are hot topics. This blog post dives into 5 Responsible AI principles and how a feature platform helps enable them.

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.

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.

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.

5 Signs You Need a Feature Platform

March 17, 2023

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.

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

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 …

Choosing the Right Feature Store: Feast or Tecton?

December 22, 2022

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