Learn how to leverage Fiddler to detect drift and data integrity issues directly against your Tecton Feature Views.| Tecton
Learn what it takes to build account takeover fraud detection systems from a data engineering and production deployment perspective. The post Rethinking Feature Engineering for ATO Detection appeared first on Tecton.| Tecton
Build drift-aware ML systems with Tecton for feature engineering with consistent offline/online serving and Arize for tracking data quality, performance and drift.| Tecton
What 10 Years of ML Infrastructure Teaches Us About the Next Generation of AI, and how the MCP-enabled Feature Store will serve real-time context to agents| Tecton
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
Build drift-aware ML systems with Tecton's feature engineering and offline/online serving plus Fiddler's feature and model drift analysis. The post Preventing Model Decay: Tecton + Fiddler for ML Drift Detection appeared first on Tecton.| Tecton
Learn how Tecton and Taktile enable fraud and risk teams to iterate faster, reduce fraud losses, and make more accurate decisions at scale. The post How Tecton and Taktile Power Real-Time Risk Decisions at Scale 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
Discover how ML models degrade in production, how feature engineering impacts accuracy, and best practices to maintain model performance over time.| Tecton
Learn why most AI projects fail to reach production, exploring the critical data engineering challenges that block deployment and how to overcome them.| Tecton
Discover why AI models need fresh context data to maintain performance. Learn how features, embeddings, and prompts create robust AI applications at scale.| Tecton
HomeToGo uses Tecton's feature platform to power their ranking system with real-time data, enhancing vacation rental recommendations.| Tecton
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store| Tecton
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store| Tecton
Discover how Tecton accelerates ML development with automated feature engineering, rapid experimentation, and streamlined deployment for smarter models.| Tecton