How Coinbase productionizes user sequence features with Tecton and Databricks to power fraud and recommendation ML models. The post How Coinbase Builds Sequence Features for Machine Learning appeared first on Tecton.| Tecton
Introducing Rift: Tecton's high-performance feature engineering engine built with Arrow, DuckDB, and Ray. Learn why it outperforms traditional ML compute options. The post Introducing Rift: Tecton’s Compute Engine appeared first on Tecton.| Tecton
Learn how AI-assisted feature engineering with Tecton and Cursor is democratizing ML development, making sophisticated real-time applications accessible to more companies with less technical expertise required.| Tecton
By using Tecton’s Feature Platform for ML, Tide can now detect transactional fraud in real time through their fraud risk assesment model.| Tecton
Explore the feature platform blog archives to gain valuable insights into building powerful ML models & enhancing data accuracy & efficiency with this solution.| Tecton
Explore Tecton's blog archives on machine learning engineering. Discover scalable solutions for MLOps efficiencies & the latest innovations in ML infrastructure.| Tecton
Want to see how Tecton can radically simplify and enhance your model development? We’ve created an interactive demo that takes you through our feature engineering to serving experience.| Tecton
