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

September 13, 2023 by

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 by

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 by

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

Feature Stores & LLMs

May 9, 2023 by

LLMs represent a new paradigm of AI. There is a big open question of how many of the tools and services that were useful for traditional machine learning are still relevant here. On one hand, there are very real new use cases and requirements for …

Operational & Real-Time Machine Learning

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

May 3, 2023 by

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 by

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 by

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 by ,

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 by

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

What Is Real-Time Machine Learning?

October 12, 2022 by

Real-time ML is when an app uses an ML model to autonomously and continuously make decisions that impact the decision in real time. Read to learn about the journey to real-time ML.

Operational & Real-Time Machine Learning

Why Building Real-Time Data Pipelines Is So Hard

August 16, 2022 by

The hardest part of real-time machine learning is building real-time data pipelines. Learn how you can avoid common challenges in this post.

Operational & Real-Time Machine LearningThought Leadership

Managing the Flywheel of Machine Learning Data

July 28, 2022 by

Learn how achieving the flywheel effect with ML can help you and your team quickly iterate on models, creating a compounding effect that results in high performance and reliability.

Thought LeadershipOperational & Real-Time Machine Learning