What Is Real-Time Machine Learning?

October 12, 2022

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.

Why Building Real-Time Data Pipelines Is So Hard

August 16, 2022

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

Managing the Flywheel of Machine Learning Data

July 28, 2022

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.

What Is a Feature Platform for Machine Learning?

July 8, 2022

Tecton CTO Kevin Stumpf explains in this post the differences between a feature store and feature platform for machine learning.

What Is Operational Machine Learning?

May 26, 2022

In this post, Kevin Stumpf, CTO of Tecton, describes what operational ML really is and gives practical examples to understand how it works.

Delivering Fast ML Features With Tecton & Redis Enterprise Cloud

March 11, 2022

Real-time machine learning applications are everywhere — from approving credit card transactions as they happen, to immediately generating personalized recommendations for your favorite streaming service. These applications can’t afford any …

Journey to Real-Time Machine Learning

August 9, 2021

We speak with hundreds of enterprise machine learning teams every year. And we’ve observed a typical pattern for the adoption of machine learning in the enterprise. Not every organization follows the exact same steps, but we’ve seen the pattern …

Back to the Future: Solving the time-travel problem in machine learning

July 6, 2020

In Back to the Future II, Marty McFly gets an idea to purchase a sports almanac in the future and bring it back to the past to use for betting. Doc Brown warns him not to profit from time travel because information from the future could create …