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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
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
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
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
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
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
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
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
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