Webinar: Creating Better Machine Learning Features for Real-Time Decisions
A machine learning model can only be as good as the features that power it. The challenge, however, is that ML models require high-quality data that can be difficult to process and serve in...
View Articleapply(risk): ML Data Engineering for Risk & Fraud Detection
Watch the replays from companies like Remitly, Block, Affirm, and more! The post apply(risk): ML Data Engineering for Risk & Fraud Detection appeared first on Tecton.
View ArticleCombining Online Stores for Real-Time Serving
Online stores are low-latency, key-value stores that hold the latest values of pre-computed features. They are used by machine learning models in production to retrieve features for real-time...
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Orchestrating Feature Pipelines: Announcing the Tecton Airflow Provider
Apache Airflow is an open-source workflow management platform that data engineering teams frequently use to orchestrate ETL pipelines. Airflow serves as the central control point for data operations....
View ArticleBuilding Plaid’s ML Fraud Detection Application, Signal
Watch this virtual fireside chat to explore best practices in designing and deploying ML fraud detection applications. The post Building Plaid’s ML Fraud Detection Application, Signal appeared first...
View ArticleBatch, Streaming & Real-Time Data: How to Leverage Their Full Power for...
Today, the data flows for ML applications are more complex and varied than ever. To gain a competitive edge, businesses are increasingly including online models in their products or real-time...
View ArticleWebinar: Supercharging Recommendation Systems With Generative AI & Real-Time...
Join Tecton Travel (our fictitious travel company) as it builds an enhanced recommendation system with Generative AI to increase bookings on its website. The post Webinar: Supercharging Recommendation...
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Visualizing Feature Lineage with Tecton Dataflow
Tecton is the interface between raw data and production ML models. Sitting at the intersection between data and AI enables Tecton to provide powerful visibility into feature lineage – namely, what raw...
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Test and Validate Feature Quality with Tecton
Tecton is used to power features in production machine learning. These production environments enable organizations to perform over a million predictions every day, and the quality of features at this...
View ArticleWebinar: Building a Real-Time Fraud Detection System at Signifyd
Signifyd, an e-commerce fraud detection platform, uses machine learning and huge amounts of data to make instantaneous decisions on whether transactions—such as returns, chargebacks, and customer...
View Articleapply(ops)
This series focuses on platforms and architectures for production machine learning projects. Practitioners share best practices and lessons learned when designing machine learning systems. The post...
View Articleapply() Spring ’24
Dive into practical workshops and technical sessions to gain best practices for transitioning from experimental models to highly scalable applications. Learn from the best engineers shaping the future...
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