Importance of a Feature Platform for Data Product Iteration | Tecton
Discover why a feature platform is essential for data product iteration and how Tecton can help you streamline your data pipeline, saving data engineers time.| Tecton
Discover why a feature platform is essential for data product iteration and how Tecton can help you streamline your data pipeline, saving data engineers time.| Tecton
Being successful with machine learning means you need to do more than monitor your ML models at prediction time. Learn more.| Tecton
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store| Tecton
Discover 10 takeaways from Apply 2025 on real-time ML, feature stores, observability, and scaling AI systems from leaders at Tecton, Atlassian, AWS & more.| Tecton
Learn how Tecton's feature platform helped HelloFresh improve customer experience and streamline business operations. Discover the solutions Tecton provided to enhance their ML operations.| Tecton
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store. Contact Us.| Tecton
Learn how Coinbase uses Tecton’s feature platform to streamline machine learning, boost fraud detection, and enhance customer experiences. Read the case study.| Tecton
Learn how to leverage Fiddler to detect drift and data integrity issues directly against your Tecton Feature Views.| Tecton
Tecton makes it simple to activate data for smarter AI. Our platform abstracts away all of the complex data engineering to get data to models.| 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
Learn how Tecton's new latency budgets let you control tradeoffs between speed and accuracy in real-time AI, enabling faster fraud detection and more resilient ML systems. The post Fraud Doesn’t Wait: Accelerating AI-Driven Detection with Latency Budgets appeared first on Tecton.| 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
Eliminate data leakage and accelerate ML model development with Tecton's automated, point-in-time correct training data generation. Scale effortlessly, reuse features, and create datasets with a single command.| Tecton
Learn how to reduce online/offline skew in ML. Discover techniques for bridging the gap between online and offline data for reliable machine learning predictions.| Tecton
Explore the Tecton blog for insights on deploying AI systems at scale, practical case studies, and expert guidance on building smarter models, faster.| 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
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store| 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
Learn why feature freshness stops fraud. Real-time data catches attacks instantly, while batch systems create windows for more fraudulent transactions.| Tecton
Learn how to solve the feature freshness problem in real-time ML systems. See how HomeToGo achieved sub-second data freshness without building complex infrastructure.| 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
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store| Tecton
Enhance your AI fraud detection models by integrating third-party data with zero-friction using Tecton's API Resources.| Tecton
How North built a real-time fraud detection system that processes millions of payments using machine learning. A technical overview of their ML architecture, challenges, and solutions.| 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
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
Discover why AI models need fresh context data to maintain performance. Learn how features, embeddings, and prompts create robust AI applications at scale.| Tecton
Learn how to build machine learning recommendation systems. Follow this guide to learn how to build an online ML recsys.| Tecton
When a job fails, non-updated stale features will negatively impact the user’s experience. Using Tecton's feature platform can help solve real, technical challenges at the forefront of ML systems.| Tecton
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store| Tecton
Learn the challenges of managing data in machine learning and how an enterprise feature platform and DevOps practices can lead to reliable feature production.| Tecton
Tecton now supports Redis to deliver single-digit ms latency for real-time ML applications at 14x lower cost than DYnamoDB. Discover which online store best fits your needs.| Tecton
HomeToGo uses Tecton's feature platform to power their ranking system with real-time data, enhancing vacation rental recommendations.| Tecton
Learn how to build smarter chatbots using Tecton's GenAI framework. See how to enhance LLMs with user context, features as tools, and domain knowledge.| Tecton
Discover different approaches to solving the common challenges that come with using real-time aggregation features of machine learning.| Tecton
Learn why traditional RAG isn't enough for production AI apps, and how combining batch, streaming, and real-time context can deliver truly valuable GenAI solutions.| Tecton
Discover how Tecton enhances RAG and LLMs with real-time context and data retrieval. Learn to build smarter AI apps using enriched prompts and feature tools.| Tecton
Discover how Tecton's expanded platform supports predictive ML and generative AI, enabling rich, context-aware applications with structured and unstructured data.| 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
Learn how to enhance LLM applications with real-time context using LangChain and Tecton. See examples of personalized AI responses with live data integration.| Tecton
Using machine learning future predictions can be a powerful tool. Discover how Tecton has solved for time-travel issues within machine learning models to make predictions.| Tecton
Learn the different use cases for caching features and see how the Tecton Serving Cache works in this blog post.| Tecton
Tecton provides a simple and powerful set of tools with the best-in-class capabilities to build data pipelines that power machine learning applications. Book a demo today!| Tecton
The hardest part of real-time machine learning is building real-time data pipelines. Learn how to avoid data pipeline challenges in this post.| Tecton
Aggregation features in machine learning are important for countless real-time ML applications. Read more about real-time aggregation features of machine learning.| 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
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
How GetYourGuide uses AI to personalize travel experiences: A real-world machine learning success story in tourism.| Tecton
Embeddings – condensed, rich representations of unstructured data – have emerged as a transformative technique for unlocking the full potential of both predictive and generative AI.| Tecton
Discover how Tecton accelerates ML development with automated feature engineering, rapid experimentation, and streamlined deployment for smarter models.| Tecton
Learn how Tecton 0.8 can improve performance and lower infrastructure costs by up to 100x, provide ways to develop new types of machine learning features, and more in this blog post.| Tecton
Tecton is launching Rift, the industry’s first Python-based compute engine for batch, streaming, and real-time features. Read more about it in this post.| Tecton
