A Practical Guide to Tecton’s Declarative Framework

June 26, 2024

In this previous blog post, we saw how treating features as code can revolutionize the feature engineering process and bridge the gap between data scientists and engineers. We introduced Tecton’s declarative framework as an abstraction to …

Feature PlatformsOperational & Real-Time Machine Learning

How Features as Code Unifies Data Science and Engineering

June 17, 2024

Feature engineering is a critical part of machine learning but it is frequently overlooked as a complex aspect of building successful models. Features are the lifeblood that ML models use to make predictions or decisions. Creating high-quality …

Feature Platforms

Hidden Data Engineering Problems in ML and How to Solve Them

June 10, 2024

Machine learning teams are under constant pressure to embed AI into every customer interaction and experience. The demand for smarter features, personalized recommendations, and real-time decisions at every touchpoint is soaring. Yet, the intricate …

Thought LeadershipFeature Platforms

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 …

Thought LeadershipFeature Platforms

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

TutorialsFeature Platforms

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.

TutorialsFeature Platforms

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.

Feature Platforms

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.

Thought LeadershipFeature Platforms

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

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 PlatformsFraud DetectionFeature Stores

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.

Feature PlatformsOperational & Real-Time Machine Learning