Why AI Needs Better Context

November 7, 2024

As companies increasingly rely on AI to drive personalized, real-time decisions, the need for robust, fresh context has never been greater. When models shift from development to production, however, they often fail to perform as expected, leading to …

How Tecton’s Feature Platform Supercharged HomeToGo’s Ranking

October 17, 2024

This post was originally published on the HomeToGo blog and can be viewed here. At HomeToGo, our vision is to make incredible homes easily accessible to everyone. As the SaaS-enabled marketplace with the world’s largest selection of vacation …

Expanding Tecton to Activate Data for GenAI

September 17, 2024

Tecton's expanded platform now provides unified support for predictive ML and generative AI, enabling organizations to build rich, context-aware AI applications that leverage diverse data types.

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 …

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 …

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 …

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.