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 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

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

Create Amazing Customer Experiences With LLMs & Real-Time ML Features

September 13, 2023

Did you know connecting large language models (LLMs) to a centralized feature platform can provide powerful, real-time insights from customer events? This post explains the benefits and how you can fit LLMs into production machine learning pipelines.

Thought LeadershipOperational & Real-Time Machine Learning

How Do Real-Time Features Work in Machine Learning?

September 6, 2023

Learn more about real-time ML features and their benefits in this blog post.

Operational & Real-Time Machine Learning

The State of Applied Machine Learning 2023

July 20, 2023

Ever wonder what the most common use cases are for applied ML? Or how fast companies are adopting MLOps solutions? Or what the main challenges are when adopting applied ML? Over 1,700 ML practitioners—from data science to ML and data …

Operational & Real-Time Machine Learning

Q&A: Making the Move to Real-Time Machine Learning

May 3, 2023

In this post, we share some of the questions asked by attendees during a recent webinar about making the move from batch to real-time ML.

Operational & Real-Time Machine Learning

How to Make the Jump From Batch to Real-Time Machine Learning

April 27, 2023

When is it time for your org to move from batch to real-time machine learning and how do you know when you're ready to make the move? This post covers that and more.

Operational & Real-Time Machine Learning

What is online / offline skew in machine learning?

April 5, 2023

The online/offline skew (aka the training/serving skew) is one of the biggest challenges in machine learning. Learn how you can reduce skew in this post.

Operational & Real-Time Machine LearningEngineering

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

Challenges of Feature Monitoring for Real-Time Machine Learning

January 26, 2023

To be successful with machine learning, you need to do more than just monitor your models at prediction time. You also need to monitor your features and prevent a “garbage in, garbage out” situation. However, it’s extremely hard to detect …

Operational & Real-Time Machine Learning