Build and deploy production-grade machine learning applications with the #FeaturePlatform for #MachineLearning, from the creators of Uber Michelangelo.
Scaling ML pipelines = not just architecture.
Aug 26: Hear from @tectonai’s Scott Castle & Nick Joung on:
✅ Avoiding hidden scaling costs
✅ Spotting pipeline fragility early
✅ Lessons from high-volume, real-time ML
🔗 Register now resources.tecton.ai/beyond-b…
🤔Most ML pipelines don’t break overnight.
They slow down.
Get more fragile.
Cost more to run.
Learn how to spot issues early scale with confidence.
📅 Aug 26 | 10 AM PT
🔗 Register here: resources.tecton.ai/beyond-b…
apply() AI Summit 2025 is now ON DEMAND! ⚡️
Stream expert sessions from Atlassian, AWS, North, a16z & more:
-Real‑time sequence modeling with Sagemaker
-Fraud detection at scale with Tecton Snowflake North
-Catching feature drift before it strikes
-How Tecton scaled to 10 trillion predictions using Ray
📺 Watch now: tecton.ai/apply-summit-2025/#applySummit#ML#AI#MLOps#FeatureEngineering#FraudDetection
Apply() AI Summit 2025 kicks off TOMORROW!
Join experts from Atlassian, North, AWS & more as they dive into real-time ML, fraud detection & scaling infra that actually works. Join us tomorrow for 2 days of informative sessions.
💻 100% virtual & free
📅 July 23-24
🔗 tecton.ai/apply-summit-2025/#Apply2025#MLOps#RealTimeML#MLInfra#Tecton
🚀 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
🔗 tecton.ai/apply-summit-2025/#Apply2025#RealTimeML#MLOps#AIEngineering
🚀Scaling Real-Time ML Infra at Coinbase
Join @coinbase@TectonAI 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 frameworks for deep learning
✅Built-in observability & governance
June 24, 10 AM PT (1 PM ET)
Register: lnkd.in/gw9tAd4n#MLOps#RealTimeML#FeatureStore#FraudDetection
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 with @Tecton@ArizeAI" shows you how to set it up:
tecton.ai/blog/drift-aware-m…#MLOps#DataDrift#MachineLearning
ML for fraud detection = real dollars.
In this interview with @mlopscommunity, CEO @mdelbalso of @TectonAI 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=tgGjFmrm…
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 trades—in real time.
These sequences feed deep learning models like LSTMs and Transformers to detect fraud and drive personalized recommendations, all within milliseconds.
Today, these features rank among the top contributors to model performance globally at Coinbase.
Full details here:
tecton.ai/blog/how-coinbase-…#ML#AI#MachineLearning#RealTimeML#FraudDetection#MLOps#DataEngineering
📷 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:
tecton.ai/blog/preventing-mo…#MLOps
Real-time decisions need real-time features. We integrated with @taktile_org to help fraud credit teams deploy ML strategies faster. Read about it: tecton.ai/blog/how-tecton-an…