Today’s the day: We’re excited to announce Tecton 1.0! 🎉 With 1.0, we’re launching a major expansion of our platform that will change how you build smarter AI applications. Get the details: bit.ly/4e4wfrP #AI #ML #GenAI #DataEngineering #ProductLaunch #MLOps

Getting nightmares from building an LLM app? You're not alone! Engineers are running into scary scenarios: 👻 Costly hallucinations 💀 Generic responses 🧛 Inefficient prompts Don't let your AI use case turn into a horror story. Get our strategies here: bit.ly/3NNqRxD

AI just got better at feature engineering 🤖 Our CTO shows how we combined #Cursor, #MCP & Tecton to build an AI agent that writes, validates & improves ML features—better than most humans. This is GenAI in the IDE. 👉 tecton.ai/blog/introduci… #ML #FeatureEngineering

Live Webinar: 🔐Building Scalable Account Security with Real-Time Fraud Signals Learn how to detect and prevent fraud in real time using machine learning and fresh data. 🗓️April 23 at 10am PT Designed for fraud, risk, and data teams 👉Register here: resources.tecton.ai/building-scala…

Introducing Rift: Our compute engine that's 10x faster & cheaper than Spark for feature engineering. Built with ApacheArrow, DuckDB, and ray for maximum performance. Learn how we did it: tecton.ai/blog/introduci… #MLOps #FeatureEngineering

AI-assisted ML engineering is now real. Build features with natural language. Auto-fix validation errors. Ship to prod with an AI agent in your IDE. Live demo from @kevinstumpf this week 📷 resources.tecton.ai/ai-assisted-ml…

Real-time decisions need real-time features. We integrated with Taktile to help fraud + credit teams deploy ML strategies faster. Read about it: tecton.ai/blog/how-tecto…

📷 ML Model Decay Alert 📷 Your models are only as good as the data feeding them. When feature distributions shift, performance tanks. Our new @Tecton + @Fiddler integration provides early warning for ML drift, showing you exactly which features are causing problems:

Real-time ML at scale? Coinbase 🛡️ is setting a new standard. The Coinbase ML team, including Joseph McAllister and Austin Rainwater, shares how they use @tectonAI + Databricks to build streaming sequence features that capture rich user behaviors—like login sessions and crypto

How does Coinbase 🛡️ run real-time ML at scale? Find out June 25 at 10am PT in our live webinar. 📅 resources.tecton.ai/scaling-real-t… Hosted by Tecton

ML for fraud detection = real dollars. In this interview with MLOps Community, CEO Michael DelBalso of Tecton shares: — What makes fraud ML so critical — The evolution of production ML — How Tecton helps teams ship faster Check it out: youtube.com/watch?v=tgGjFm…

Data drift silently kills ML models in production. Your fraud detection model worked in training, but feature distributions change over time. You need an early warning for feature and model drift before performance drops. This new guide about "Building drift-aware ML systems

🚀Scaling Real-Time ML Infra at Coinbase Join Coinbase 🛡️ + Tecton for a live virtual session on how they built a high-performance ML platform with: ✅Sub-second data freshness ✅<100 ms prediction latency ✅Batch + streaming with Databricks & Tecton ✅Sequence feature

🚀 Apply() AI Summit 2025 is now open to registration! The virtual event for ML engineers building real-time systems at scale. 🗓️ July 23–24 🎙️ Speakers from a16z, Atlassian, AWS & more 🧠 Deep dives. Real-world lessons. No fluff. 💻 100% virtual & free 🔗

New blog: Monitor your Tecton Feature Views with Fiddler AI for early drift detection. Stop waiting for model performance to drop. Catch data issues at the source and protect all downstream models Full walkthrough with code examples: tecton.ai/blog/proactive… #MLOps

Modern fraud is fast, evolving & hard to detect. Learn how to stay ahead at apply() AI Summit 2025 (July 23-24) 🧠 Detect complex fraud with sequence features ⚡ Deploy real-time ML w/ Tecton + AWS SageMaker 🎙️ Featuring AWS’s Arnab Sinha 🔗 tecton.ai/apply-summit-2… #apply2025