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Tecton Hosts apply(recsys), a Data Engineering Event for


SAN FRANCISCO, Nov. 16, 2022 (GLOBE NEWSWIRE) — Tecton, the leading machine learning (ML) feature platform company, today announced that it is hosting apply(recsys), the first conference in the apply() series of events on data engineering and systems architecture for ML recommender systems, on December 6:

“We launched our apply() event series last year to meet the demand for more practical knowledge from MLOps teams that are deploying ML in production,” said Mike Del Balso, co-founder and CEO of Tecton. “With tens of thousands registered attendees across our event series, we’re excited to be hosting apply(recsys) with another solid line-up of speakers.”

apply(recsys) focuses on the specific challenges of building recommender systems and will cover best practice development patterns, tools of choice and emerging architectures to successfully build and manage production recommender systems applications. The event will feature speakers from ByteDance, Cookpad, Coveo, eezylife, HeyJobs, MLOps Community, Slack and Tecton.

apply() is an event series for ML and data teams to discuss the practical data engineering challenges faced when building operational ML systems. The series has had more than 100 speakers from leading organizations like a16z, Adyen, Anyscale, Atlassian, CashApp, Confluent, Databricks, DBT Labs, Deloitte, DoorDash, Drizly, Etsy, Facebook, Faire, Feast, Gojek, Google, Hugging Face, Instacart, Intuit, Lemonade, LinkedIn, McKinsey, Mercado Libre, Microsoft, MLOps Community, Monte Carlo, Netflix, Pinterest, Redis Labs, Robinhood, Shopify, Snap, Snowflake, Snorkel AI, Spotify, Stanford University, StitchFix, Stripe, Tide, Twitter, Uber, UC Berkeley – RISELab, Volvo Cars, Walmart and the Wikimedia Foundation.

For the full conference schedule or to register, simply visit:

About Tecton
Tecton’s mission is to make world-class ML accessible to every company. Tecton’s feature platform for ML enables data scientists to turn raw data into production-ready features, the predictive signals that feed ML models. The founders created the Uber Michelangelo ML platform, and the team has extensive experience building data systems for industry leaders like Google, Facebook, Airbnb and Uber. Tecton is backed by Andreessen Horowitz, Bain Capital Ventures, Kleiner Perkins, Sequoia Capital and Tiger Global as well as by strategic investors Databricks and Snowflake Ventures. Tecton is the main contributor and committer of Feast, the leading open source feature store. For more information, visit or follow @tectonAI.

Media and Analyst Contact:
Amber Rowland

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