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Our thoughts on extracting ML signal from the data noise

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Posted by  Kevin Stumpf
July 8, 2022

What Is a Feature Platform for Machine Learning?

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Product Update: More Data Flexibility, Control, and Quality

If you work with machine learning in any form, then you know getting powerful models to production, faster, is the intent. But in order for an individual, a team, and/or an organization to develop and scale machine learning systematically, the … Read More

Posted by  Pauline Brown
October 6, 2022

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Machine Learning: The Past, Present, and Future

In the past 10 years, we’ve seen an explosion of growth both in the use cases for machine learning (ML) and the MLOps tools for putting it into production. It’s now possible for a small team to deliver a use … Read More

Posted by  Mike Del Balso
September 14, 2022

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The Importance of Canary Testing to Ensure Feature Correctness

Learn how Tecton’s canary process was designed to keep Tecton’s feature platform reliable, stable, and scalable. Read More

August 23, 2022

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Why Real-Time Data Pipelines Are So Hard

The hardest part of real-time machine learning is building real-time data pipelines. Learn how you can avoid common challenges in this post. Read More

Posted by  David Hershey
August 16, 2022

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Production Machine Learning Application in 15 Minutes With Tecton and Databricks

In this post, I’ll show how you can dramatically simplify these challenges with the right tools. With Tecton and Databricks, you’ll be able to build the MVP for a real-time machine learning (ML) system in 15 minutes, including real-time data processing and online inference. Read More

Posted by  David Hershey
August 4, 2022

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Managing the Flywheel of Machine Learning Data

In this post, I’ll explain what the machine learning flywheel is and what the challenges are today—particularly around ML data, which is the lifeblood of any ML application. Read More

Posted by  Mike Del Balso
July 28, 2022

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Tecton Raises $100M in Series C Funding

In 2019, when Kevin and I decided we wanted to help companies put machine learning into production, we knew the road ahead would be anything but boring. Not only were we on a mission to solve one of the toughest … Read More

Posted by  Mike Del Balso
July 12, 2022

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Deploying Real-Time Predictive Applications With Databricks

We are thrilled to announce our partnership with Databricks, the Data and AI Company and pioneer of the data lakehouse paradigm, to help organizations build and automate their machine learning feature pipelines from prototype to production. Available to all Databricks … Read More

Posted by  Pauline Brown
June 22, 2022

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What Is Operational Machine Learning?

Tecton's founders started Uber Michelangelo, which led to an explosion of operational machine learning applications at Uber. In this article, Kevin Stumpf, Co-founder and CTO at Tecton, describes what operational ML really is and gives practical examples to understand how it works Read More

Posted by  Kevin Stumpf
May 26, 2022

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