All Resources

Supercharge Production AI with Features as Code

In this talk, Sergio Ferragut, Principal Developer Advocate, will explore how Tecton’s declarative framework empowers data scientists and ML engineers to collaborate effortlessly and build production features with ease.

Events & WebinarsFeature PlatformsFeature StoresOperational & Real-Time MLProduct UpdatesTutorials

Democratizing Data for AI: Varo Bank’s Approach to Scaling AI Innovation

In this technical deep dive, Tim Hopper, Staff Software Engineer, Machine Learning on Varo Bank’s ML platform team, presents how Varo streamlined their approach to productionizing data, driving AI/ML initiatives across multiple products and …

Events & WebinarsCustomer StoriesFeature PlatformsFeature Stores

Building a Resilient, Real-Time Fraud System at Block

Niccolò Ronchetti, Staff Machine Learning Engineer at Block, presents an innovative approach: In this talk, he introduces a Bayesian-based approach for fraud detection at Block, designed to combat fraud across their diverse platform while …

Events & WebinarsFraud DetectionOperational & Real-Time ML

Powering Millions of Real-Time Rankings at GetYourGuide

Delivering millions of personalized rankings daily is no easy feat, especially when it comes to incorporating real-time user behavior and ensuring model performance at scale. In this session, Mihail Douhaniaris, Senior Data Scientist, and Martin …

Events & WebinarsOperational & Real-Time ML

Full RAG: A Modern Architecture for Hyperpersonalization

Achieving next-level AI-powered personalization with traditional RAG (Retrieval-Augmented Generation) alone is tough, especially when it comes to adding real-time and user-specific context. Mike Del Balso, CEO and Co-Founder of Tecton, has a better …

Events & WebinarsFeature Platforms

Productionize AI/ML Faster, and with Less Tech Debt

In this talk, David Wang and Sergio Ferragut at Tecton will present the data engineering bottleneck for ML. You’ll see how Tecton’s feature platform streamlines feature experimentation and production for ML, accelerating model production by 80% …

Events & Webinars

Webinar: Production Embeddings for Business-Critical Predictive & Generative AI

In this webinar, we’ll show how embeddings can significantly enhance AI applications, enabling more accurate predictions and dynamic generative models.

Events & WebinarsProduct Updates

Solving the Data Engineering Bottleneck in Production ML

Discover the importance of a platform for developing, managing, and serving features in production ML environments.

Events & WebinarsOperational & Real-Time ML

apply() Spring ’24

Dive into practical workshops and technical sessions to gain best practices for transitioning from experimental models to highly scalable applications. Learn from the best engineers shaping the future of applied artificial intelligence and machine …

Events & WebinarsOperational & Real-Time ML

Webinar: Building a Real-Time Fraud Detection System at Signifyd

Signifyd, an e-commerce fraud detection platform, uses machine learning and huge amounts of data to make instantaneous decisions on whether transactions—such as returns, chargebacks, and customer account creation—are fraudulent.

Events & WebinarsFraud Detection

Test and Validate Feature Quality with Tecton

Tecton ensures the quality of machine learning features in production.

PostsTutorials

Visualizing Feature Lineage with Tecton Dataflow

Tecton is the interface between raw data and production ML models. Sitting at the intersection between data and AI enables Tecton to provide powerful visibility into feature lineage – namely, what raw data ultimately powers which models. Today …

Posts