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

Navigating the MLOps Landscape: 4 Key Insights From apply(ops)

December 19, 2023

Check out this blog post for the 4 major takeaways from apply(ops), which featured talks from Uber, HelloFresh, Riot Games, and more.

Events

How Plaid Uses Tecton to Detect and Prevent Fraud

November 9, 2023

Learn how Plaid built Signal, an ML platform that powers payment fraud detection and prevention, in this post.

Customer StoriesFraud Detection

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.

Operational & Real-Time Machine LearningThought Leadership

Why We Need DevOps for ML Data

April 28, 2020

Getting machine learning (ML) into production is hard. In fact, it’s possibly an order of magnitude harder than getting traditional software deployed. As a result, most ML projects never see the light of production-day and many organizations simply …

Thought Leadership