Tecton
@TectonAI
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Build and deploy production-grade machine learning applications with the #FeaturePlatform for #MachineLearning, from the creators of Uber Michelangelo.
San Francisco
Joined March 2019
๐จ The apply() AI Summit 2025 agenda is LIVE! Join top ML & fraud experts from North, Atlassian, AWS & more. ๐ง Theme: Maximize ROI with AI ๐ก๏ธ Sessions on real-time fraud detection, ML infra, observability & more ๐ป 100% virtual | ๐ Free to attend ๐
July 23โ24 ๐
tecton.ai
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store
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๐คMost ML pipelines donโt break overnight. They slow down. Get more fragile. Cost more to run. Learn how to spot issues early + scale with confidence. ๐
Aug 26 | 10 AM PT ๐ Register here:
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apply() AI Summit 2025 is now ON DEMAND! โก๏ธ Stream expert sessions from Atlassian, AWS, North, a16z & more: -Realโtime sequence modeling with Sagemaker -Fraud detection at scale with Tecton + Snowflake + North -Catching feature drift before it strikes -How Tecton scaled to 10
tecton.ai
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store
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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. ๐ป 100% virtual & free ๐
July 23-24 ๐
tecton.ai
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store
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๐จ 1 week to go & the agenda is LIVE! ๐จ apply() AI Summit 2025 is next week (July 23โ24) โ
Real-time ML at scale ๐ค Speakers from AWS, Atlassian, a16z & more ๐
Full schedule just dropped! ๐ Check it out + register free: https://t.co/CWL5Z4xndS
#AI #MLOps #applySummit
tecton.ai
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store
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โกIn payments, every millisecond matters. At #apply2025, join one of our sessions to hear how North built a real-time ML system that: โ
Beats 10x traffic surges โ
Streams data to Snowflake โ
Delivers fraud decisions in <1s ๐๏ธSession Speaker: Benjamin Orkin ๐
July 23-24
tecton.ai
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store
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Modern fraud is fast, evolving & hard to detect. Learn how to stay ahead at apply() AI Summit 2025 (July 23-24) ๐ง Detect complex fraud with sequence features โก Deploy real-time ML w/ Tecton + AWS SageMaker ๐๏ธ Featuring AWSโs Arnab Sinha ๐ https://t.co/CWL5Z4xndS
#apply2025
tecton.ai
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store
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New blog: Monitor your @TectonAI Feature Views with @fiddlerlabs 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: https://t.co/UbgH5mifgD
#MLOps
tecton.ai
Learn how to leverage Fiddler to detect drift and data integrity issues directly against your Tecton Feature Views.
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๐ Apply() AI Summit 2025 is now open to registration! The virtual event for ML engineers building real-time systems at scale. ๐๏ธ July 23โ24 ๐๏ธ Speakers from a16z, Atlassian, AWS & more ๐ง Deep dives. Real-world lessons. No fluff. ๐ป 100% virtual & free ๐
tecton.ai
The Feature Platform for Machine Learning, from the creators of the Uber Michelangelo feature store
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๐Scaling Real-Time ML Infra at Coinbase Join @coinbase + @TectonAI for a live virtual session on how they built a high-performance ML platform with: โ
Sub-second data freshness โ
<100โฏms prediction latency โ
Batch + streaming with Databricks & Tecton โ
Sequence feature
lnkd.in
This link will take you to a page thatโs not on LinkedIn
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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
tecton.ai
Build drift-aware ML systems with Tecton for feature engineering with consistent offline/online serving and Arize for tracking data quality, performance and drift.
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ML for fraud detection = real dollars. In this interview with @mlopscommunity, CEO @mdelbalso of @TectonAI shares: โ What makes fraud ML so critical โย The evolution of production ML โ How Tecton helps teams ship faster Check it out:
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How does @coinbase run real-time ML at scale? Find out June 25 at 10am PT in our live webinar. ๐
https://t.co/xoapsVSoVm Hosted by @TectonAI
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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 behaviorsโlike login sessions and crypto
tecton.ai
How Coinbase productionizes user sequence features with Tecton and Databricks to power fraud and recommendation ML models.
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๐ท ML Model Decay Alert ๐ท 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
Build drift-aware ML systems with Tecton's feature engineering and offline/online serving plus Fiddler's feature and model drift analysis.
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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
Learn how Tecton and Taktile enable fraud and risk teams to iterate faster, reduce fraud losses, and make more accurate decisions at scale.
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