Proactive Drift and Data Quality Monitoring for Tecton Feature Views with Fiddler

July 1, 2025

Learn how to leverage Fiddler to detect drift and data integrity issues directly against your Tecton Feature Views. Tecton’s Feature Store transforms raw data into machine learning features through real-time, streaming and batch data pipelines. …

Feature PlatformsFeature StoresPartners & Integrations

Drift-Aware ML Systems

June 10, 2025

Build drift-aware ML systems with Tecton for feature engineering with consistent offline/online serving and Arize for tracking data quality, performance and drift.

Feature PlatformsPartners & IntegrationsFeature Stores

Preventing Model Decay: Tecton + Fiddler for ML Drift Detection

May 8, 2025

Build drift-aware ML systems with Tecton's feature engineering and offline/online serving plus Fiddler's feature and model drift analysis.

Feature PlatformsFeature StoresPartners & Integrations

How Tecton and Taktile Power Real-Time Risk Decisions at Scale

May 5, 2025

Learn how Tecton and Taktile enable fraud and risk teams to iterate faster, reduce fraud losses, and make more accurate decisions at scale.

Fraud DetectionFeature PlatformsOperational & Real-Time Machine LearningPartners & Integrations

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

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