Simplify Real-Time AI Systems with Amazon SageMaker + Tecton

December 18, 2024

Amazon SageMaker and Tecton streamline AI deployment for real-time applications, enabling faster ROI through automated feature engineering and rapid predictions.

Feature PlatformsOperational & Real-Time Machine Learning

How Good Models Go Bad in Production

December 10, 2024

Ultimately you want your model to make better predictions — which means improving your model accuracy. Model accuracy measures how often a model’s predictions align with the actual values. How well can it reflect the current state of the real …

Feature PlatformsOperational & Real-Time Machine LearningThought Leadership

Why AI Applications Struggle Getting to Production

December 4, 2024

Learn why most AI projects fail to reach production, exploring the critical data engineering challenges that block deployment and how to overcome them.

Feature PlatformsThought Leadership

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 …

GenAIFeature PlatformsOperational & Real-Time Machine Learning

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 …

Feature PlatformsEngineeringCustomer Stories

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.

GenAIFeature PlatformsAnnouncements

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