Tecton

Resources

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

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    • Videos

    How Michelangelo ML Enabled Uber To Scale Up Its ML Models | Mike Del Balso – Tecton

    Mike Del Balso is the co-founder and CEO of Tecton, where he is focused on building next-generation data infrastructure for Operational ML

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    White Papers

    Tecton Feature Store Overview

    Learn more about the Tecton feature store and how it brings DevOps principles to the complete lifecycle of ML features

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    Case Studies

    Atlassian Case Study

    Atlassian uses Tecton to accelerate deployment of ML models from months to days, and improve model accuracy.

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    Videos

    Accelerating the ML Lifecycle with an Enterprise-Grade Feature Store

    Talk from Spark+AI Summit 2020 with Mike Del Balso, Co-Founder and CEO of Tecton, and Geoff Sims of Atlassian.

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    Podcasts

    TWiML Podcast
    Feature Stores for MLOps with Mike Del Balso

    TWiML podcast on bringing DevOps to ML data with feature stores.

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    Videos

    Feature Stores to Accelerate AI Development

    Panel discussion on ML data with industry thought leaders Kevin Stumpf, CTO of Tecton, Willem Pienaar, creator of Feast, and Maxime Beauchemin, creator of Apache Airflow.

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    Podcasts

    Software Engineering Daily
    Tecton: Machine Learning Platform from Uber with Kevin Stumpf

    In this podcast, Kevin Stumpf, Co-Founder and CTO of Tecton, discusses his experience building Uber Michelangelo and now building the Tecton feature store.

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    White Papers

    Omdia: Up Close with Tecton

    Omdia research report on Tecton from a hands-on product evaluation of the Tecton feature store.

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    Podcasts

    Python Podcast
    Scale Your Data Science Teams with MLOps Principles

    In this podcast, Mike Del Balso, Co-Founder and CEO of Tecton, explains how feature stores help data scientists build better features and get them to production instantly

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