Tecton.ai founders Mike Del Balso (CEO), Kevin Stumpf (CTO), and Jeremy Hermann (VP of Engineering) worked together at Uber. When the company was struggling to build and deploy new machine learning models, they created Uber’s Michelangelo machine learning platform.

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The Superb AI Suite is an enterprise SaaS platform built to help ML engineers, Feature Stores by Tecton and the importance of Data Preparation and Data 

It has emerged from stealth and formally launched with its data platform for machine learning. Both Martin Casado, general partner at Andreessen Horowitz, and Matt Miller, partner at Sequoia, have joined the board. Tecton.ai is a data platform for machine learning that lets data scientists transform raw data into production-ready features. The company is founded by CEO Mike Del Balso, CTO Kevin Stumf, and VP De senaste tweetarna från @TectonAI 2021-03-31 · Tecton is backed by Andreessen Horowitz and Sequoia and is headquartered in San Francisco with an office in New York. For more information, visit https://www.tecton.ai or follow @tectonAI.

Tecton ai

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To … Read More At Tecton, we are building an enterprise Feature Store that is transforming the way companies solve real-world problems with machine learning at scale. Our founding team created Uber’s Michelangelo ML Platform, which has become the blueprint for modern ML platforms in large organizations. We recently received Series B funding from Sequoia Capital Introducing Tecton: A data platform for machine learning. At Tecton, we’re building a data platform for machine learning to help with some of the most common and most challenging workflows in data science. At a high level, the Tecton Platform consists of: Feature Pipelines for transforming your raw data into features or labels The tutorial is comprised of three parts - each designed to get you familiar with Tecton's overall workflow and functionality, and ready to develop on the platform with your own data: Build training data and test the serving API in a Notebook. Tecton has sent you a link with a Databricks workspace to use - in your "Welcome to Tecton" email.

Both Martin Casado, general partner at Andreessen Horowitz, and Matt Miller, partner at Sequoia, have joined the board. Tecton.ai is a data platform for machine learning that lets data scientists transform raw data into production-ready features.

AI Alliance Member Tecton Secures $35M in Series B Funding and Delivers Their Feature Store to the World. by Tecton | Dec 9, 2020 | Feature Store, Infrastructure, MLOps. Today marks a big milestone for Tecton.

In our conversation, we  LF AI & Data Foundation | 907 följare på LinkedIn. Open Source Innovation in Artificial Intelligence, Machine Learning, Deep Learning, and Data | Open Tecton. Programvaror. San Francisco, California.

Tecton ai

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Tecton ai

Build a library of great features. Serve them in production. Do it at scale. By Tecton.ai. Speaker: 30+ speakers from Google, Microsoft, Netflix, etc..

Tecton ai

About this documentation. Our documentation is split into the following sections, which can be accessed through the ribbon at the top of this page. Overviews: This Introducing Tecton: A data platform for machine learning. At Tecton, we’re building a data platform for machine learning to help with some of the most common and most challenging workflows in data science. At a high level, the Tecton Platform consists of: Feature Pipelines for transforming your raw data into features or labels The tutorial is comprised of three parts - each designed to get you familiar with Tecton's overall workflow and functionality, and ready to develop on the platform with your own data: Build training data and test the serving API in a Notebook. Tecton has sent you a link with a Databricks workspace to use - in your "Welcome to Tecton" email.
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Tecton ai

Feature Store for Machine Learning, from the creators of Uber Michelangelo. Build a library of great features.

Speaker: 30+ speakers from Google, Microsoft, Netflix, etc.. 89 attendees .
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Tecton.AI develops a data platform to help companies tap into machine learning processes.

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