Tecton Hosts apply(recsys), a Data Engineering Event for Machine Learning Recommender Systems, on December 6
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: https://events.tecton.ai/public/events/apply-recsys-2022-12-06.
“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 dicuss 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: https://events.tecton.ai/public/events/apply-recsys-2022-12-06.
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