Tecton

Resources

The Tecton library of information on feature stores, technology, use cases, and reference architectures.

Videos

Choosing the right feature store: Feast or Tecton?

High-level and hands-on comparison to help you choose the best feature store for your machine learning use cases Read More

Videos

Scaling Real-Time ML at Cash App with Tecton

Hear Cash App’s journey through various generations of its core machine-learning capabilities and how Tecton’s real-time feature platform helps them deliver world-class recommendations. Read More

Videos

Real-Time Machine Learning for Financial Services

How Tide built real-time fraud detection and loan approval ML applications using Tecton’s feature platform

Videos

Enabling rapid model deployment in the healthcare setting

Discover how Vital powers its predictive, customer-facing, emergency department wait-time product with request-time input signals and how it solves its “cold-start” problem by building machine-learning feedback loops using Tecton.

Videos

Workshop: Operationalizing ML Features on Snowflake with Tecton

Many organizations have standardized on Snowflake as their cloud data platform. Tecton integrates with Snowflake and enables data teams to process ML features and serve them in production quickly and reliably, without building custom data pipelines.

Videos

Feature Platforms for Data-Centric AI with Mike Del Balso

In this podcast, Tecton CEO and Co-founder Mike Del Balso joins Sam Charrington to talk about all things machine learning.

Videos

4 Minute Demo of the Tecton Feature Store Platform

David Hershey from the Tecton team walks through a quick overview and demo of the Tecton Feature Store platform.

Videos

Deploying a Fraud Detection Model with Tecton

Tecton Solutions Architect David Hershey walks through a live demo of deploying a fraud detection model using the Tecton Feature Store.

Videos

How Feature Stores Enable Operational ML

Tecton CEO Mike Del Balso dives into how Feature Stores like Tecton and Feast enable operational ML and the specific problems they solve for data teams.

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