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…
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…
I built an ML engineering agent with Cursor + MCP. I learned:
- Agent experience is the new dev exp
- Tests are the best hallucination defense
- Agents spot DevExp gaps faster than devs
- Public docs + stable SDKs = ❤️ by LLMs
- Declarative > imperative
stumpfkevin.medium.com/ai-assisted-ml…
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
🕙Using LangChain and Tecton to Personalize LLM Applications with Up-to-Date Context
Everyone wants personalized LLM responses! In to achieve this, the LLM needs to be passed up-to-date information
Tecton + LangChain can help you do this
tecton.ai/blog/langchain…
Exclusive: Kleiner Perkins has *$2 billion* in new venture funds as bets like Rippling and Figma have helped maintain the firm’s legendary status bloomberg.com/news/articles/…
Tecton now integrates with Google Cloud to help all Google Cloud customers:
✅Accelerate time to value for #machinelearning models
✅Maximize model performance and reliability
✅Control costs for ML applications
✅Future-proof their ML stack
Learn more: tecton.ai/blog/integrati…
Tecton 0.6 is live! And it’s packed w/ new capabilities to simplify & accelerate feature engineering. Check out all the details in the full announcement: ow.ly/gajY50Njf8i+
Operational ML helps machines make decisions. Analytical ML helps humans make decisions. Check out why Operational ML is on the rise, and how tech giants like Uber have been taking advantage of it for years. tecton.ai/blog/what-is-o…
I couldn't be more excited to announce that Tecton just launched a native integration with Snowflake! With Tecton, you can now use your Snowflake data for real-time ML applications.
I couldn't be more excited to announce that Tecton just launched a native integration with Snowflake! With Tecton, you can now use your Snowflake data for real-time ML applications.
🎉 We’re excited to announce an integration w/ @TectonAI's enterprise feature store & Feast.
Available in preview to all Snowflake customers on #AWS, you can now store, process & manage the complete lifecycle of #ML features for production in Snowflake okt.to/MIpVzu
🎆 2021 was our best year yet at Tecton! We served over a trillion ML features to 4x more customers than last year 💪, work now out of 7 global cities 🏙️, more than doubled the team of Tectonauts 👩🚀, ran a marathon 🙂, and so much more: tecton.ai/blog/2021-at-t…
Ever wondered how a Feature Store helps companies develop & deploy Machine Learning applications into production? Check out our interactive walkthrough here: docs.tecton.ai/v2/#
🚨 Introducing low-latency streaming pipelines for real-time ML. For data teams building features from streaming sources: Tecton now automatically processes streaming features with sub-second latency.
👉 tecton.ai/blog/introduci…#MLOps#MachineLearning#FeatureStore
Real-Time Machine Learning Features are hard to get right but critical for countless ML use cases that run in production and drive the end-user experience (recommendations, fraud detection, pricing, etc). Check out how Tecton, Uber, and Airbnb tackle them stumpfkevin.medium.com/real-time-aggr…
"Tecton helps us create more accurate features that combine data from Snowflake and Apache Kafka. With Tecton, we can reduce by weeks the time to deploy features,” said Hendrik Brackmann, Director at @TideBusiness#mlops#featurestore#machinelearningbit.ly/3qzEq6h
We’re excited to announce the Tecton feature store in GA, and $35M in Series B with @sequoia and @a16z, to empower data scientists to build great ML features and deploy them to production instantly.
bit.ly/3oHL09Z#featurestore#mlops
Big news for Feast and Tecton today! @willpienaar joins the Tecton team, and Tecton becomes Fest core contributor.
Why? Make feature stores accessible to everyone, with choice of open source or commercial software.
Blog: bit.ly/3fkGRoZ#featurestore#machinelearning
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