Tecton’s Tweets

Nov 10

Are you ready for more #machinelearning … learnings? The next apply(recsys) is happening on December 6—sign up today to join us for this free half-day, virtual event. bit.ly/3TsT3X4

Nov 11

Join our monthly live demo to see how Tecton’s feature platform enables you to power one model (or 1000s simultaneously) with fresh, re-usable features, on demand. Sign up today! ow.ly/hIIY50LtOIF

Did you know that

has quite a few machine learning recommender systems? Join us for apply(recsys) on December 6 and hear from

@dataing_katrina

about how Slack set up all these systems. Sign up today—it's free! bit.ly/3TsT3X4

Nov 10

Should you build or buy a feature store? Download this whitepaper to learn the pros and cons of each option. ow.ly/Ip2i50LtPug #machinelearning

set out to ensure that its data scientists and engineers could quickly discover, understand, and securely access high-quality data to prototype and deliver large-scale predictive data products. See why they chose Tecton. ow.ly/kFOi50LtPkt

Thanks

and Mike Del Balso (

) for having me on the

@mlopscommunity

podcast! I had fun chatting about all sorts of things, from feature stores to the product<>ML relationship to LLMs go.mlops.community/aninxA

We're excited to have

@willpienaar

, Creator of Feast, speak at #SnowflakeBUILD! Save your seat today: okt.to/5hTfxe

Nov 8

Join our monthly live demo to see how Tecton’s feature platform enables you to power one model (or 1000s simultaneously) with fresh, re-usable features, on demand. Sign up today! ow.ly/hIIY50LtOIF

MLOps Coffee Sessions is for everyone who loves to learn, develop professionally, and hear leading experts' talk shop. If that sounds like you, keep an eye out for the Let's Continue Bundling into the Database episode with our special guest

Feast or Tecton? Which one is right for your teams’ needs? Find out in this informative webinar, where we do a deep-dive and hands-on comparison: ow.ly/IjMc50LtOTO

Nov 4

Defining feature logic & data transformations using SQL, PySpark, SnowPark, or Python? It’s possible with Tecton! Join us for our monthly live demo to learn more. Sign up: ow.ly/1f4e50LtOLk

Nov 3

Want to learn how to use Tecton’s feature platform to build, manage & operate data pipelines for real-time machine learning? Sign up for our monthly demo! ow.ly/WX9950LtOyU

Nov 2

"We needed to move quickly & we wanted the best solution available. That’s what led us to Tecton.” Discover how

@HelloFresh

evaluated multiple vendors and ultimately selected Tecton to help standardize #machinelearning across the organization. More here: bit.ly/3NJUJdD

Oct 20

Trying to decide whether to build or buy a feature store? Read this whitepaper first! Download here: bit.ly/3VAoGAh

Oct 19

Want to learn how to use Tecton’s feature platform to build, manage & operate data pipelines for real-time machine learning? There's still time to sign up for our monthly demo tomorrow! ow.ly/65Mi50L4Vqi

Oct 18

Defining feature logic & data transformations using SQL, PySpark, SnowPark, or Python? It’s possible with Tecton! Join us for our monthly live demo to learn more. Sign up to save your spot: ow.ly/P8hi50L4VoR

Oct 14

Got some burning questions about machine learning you need answered? Don't miss this AMA with

and

Quote Tweet

Join us on Thursday, October 20th at 10am PST (aka19:00-20:00 Europe (CEST) ) for another Ask Me Anything Session! We’ll be chatting with @kevinmstumpf and Willem Pienaar from Tecton.

Show this thread

Oct 13

Join our monthly live demo to see how Tecton’s feature platform enables you to power one model (or 1000s simultaneously) with fresh, reusable features, on demand. Sign up today! ow.ly/xN9l50L4Vn5

Oct 12

Feast or Tecton: Which one is right for your teams’ needs? Find out in this informative webinar, where we’ll do a deep-dive and hands-on comparison: ow.ly/4jFQ50L4VBe

Going to

tomorrow? Don't miss this informative session with

@sf_esquivel

"Building a Movie Rec System on Tecton w/ Snowflake"! Check out the event agenda here and register: ow.ly/Pi8M50L7yoK

Oct 10

Want to learn how to use Tecton’s feature platform to build, manage & operate data pipelines for real-time machine learning? Sign up for our monthly demo! ow.ly/atnc50L4VlO

Oct 6

A model is only as good as the data that powers it. Tecton 0.5 has exciting new capabilities to give our customers flexibility and control of their features and underlying systems & improves how they can access and interact with data. Details here:

Product Update: More Data Flexibility, Control, and Quality | Tecton

Highlights from Tecton’s latest release, including new capabilities designed to give users more flexibility and control over their machine learning features and underlying systems.

Discover how

partners with #Tecton to solve their cold-start problem & provide real-time wait-time estimates to emergency department patients w/ their predictive data product, ERAdvisor: ow.ly/5rJa50L0nyQ #machinelearning #datascience

Sep 30

Learn how a canary process helps prevent rolling regressions into prod & increases dev velocity by allowing teams to more easily test changes. #machinelearning #featureengineering

The Importance of Canary Testing to Ensure Feature Correctness | Tecton

Learn how Tecton’s canary process was designed to keep Tecton’s feature platform reliable, stable, and scalable.

Sep 28

There are 4 common reasons why teams want to build a feature store. Check out this post to find out what they are and how they influence the system you'll eventually design. #machinelearning

Building a Feature Store | Tecton

The data platform for machine learning, from the creators of the Uber Michelangelo feature store.

Sep 23

Real-time #machinelearning is still hard to do successfully. Achieving a flywheel effect with ML results in high performance and reliability. More in this blog post by Tecton CEO

@mikedelbalso

Managing the Flywheel of Machine Learning Data | Tecton

What is the machine learning flywheel and how does it enable building great machine learning apps? Find out in this post.

Sep 22

A major part of ensuring platform stability and reliability is having a test-first approach to development—and that includes an internal canary pipeline. Read more. #machinelearning

The Importance of Canary Testing to Ensure Feature Correctness | Tecton

Learn how Tecton’s canary process was designed to keep Tecton’s feature platform reliable, stable, and scalable.

Sep 21

Real-time #machinelearning is vital in the digital cash exchange space.

@CashApp

shares lessons they learned in their journey to deliver large-scale, world-class recsin this video.

Scaling Real-Time ML at Cash App with Tecton | Tecton

Hear Cash App’s journey through various generations of its core machine-learning capabilities and how Tecton’s real-time feature platform helps them deliver world-class recommendations. Want to learn...

Join us at

's #Snowpark Day tomorrow! We'll show you how your teams can now collaborate in the same platform using the same data using Snowpark and #python. ow.ly/huMI50KPqPh

snowflake.com

Snowpark Day: Snowpark Gets Even Better! Get Started With Python With Snowflake And Unlock New Use...

The complex data environment today makes collaboration extremely difficult for data professionals, resulting in slow time to insight and leaving much

Building Production-Ready Recommender Systems with Feast | Open Data Science Conference

Sep 21

Are you going to ODSC West? If yes, make sure to check out "Building Production- Ready Recommender Systems W/ Feast" to learn about technical and organizational challenges feature stores solve, and more. More info: ow.ly/Mib750KOsjj #machinelearning

odsc.com

Sep 20

Building a feature store but not sure where to start? This blog post details the requirements you need to collect and other considerations, like tooling and optional enhancements. #machinelearning

Building a Feature Store | Tecton

The data platform for machine learning, from the creators of the Uber Michelangelo feature store.

shares some thoughts on machine learning and where it's headed next in this blog post.

Machine Learning: The Past, Present, and Future | Tecton

Take a quick trip into the past and present of machine learning, from analytical to real-time machine learning, and find out what could be next.

Sep 14

Learn how a canary process helps prevent rolling regressions into prod and increases dev velocity by allowing teams to more easily test changes. #machinelearning #featureengineering

The Importance of Canary Testing to Ensure Feature Correctness | Tecton

Learn how Tecton’s canary process was designed to keep Tecton’s feature platform reliable, stable, and scalable.

Sep 13

Did you know there are 4 common reasons why teams want to build a feature store? Check out this post to find out what they are and how they influence the system you'll eventually design.

Building a Feature Store | Tecton

The data platform for machine learning, from the creators of the Uber Michelangelo feature store.

Sep 12

"Great machine learning apps require a great machine learning flywheel." -

@mikedelbalso

Learn what the flywheel is and the challenges faced, particularly around ML data.

Managing the Flywheel of Machine Learning Data | Tecton

What is the machine learning flywheel and how does it enable building great machine learning apps? Find out in this post.

Sep 10

"Tweet tweet [redacted]." <-- What our canary testing tells us if something goes wrong when we roll out changes. Read more about the role the canary process plays in ensuring feature correctness. #machine learning.

The Importance of Canary Testing to Ensure Feature Correctness | Tecton

Learn how Tecton’s canary process was designed to keep Tecton’s feature platform reliable, stable, and scalable.

Official

Getting #ML systems to production is hard 😪 But that doesn’t mean you can’t make it easier. We teamed up with

How to Realize Real-time ML in 15 Minutes with Tecton and Databricks

to help you build the MVP for real-time ML system in minutes, including real-time data processing & online inference👇

databricks.com

Learn how the right tools can dramatically simplify the challenges bringing real-time ML systems to production.With Tecton and Databricks, you’ll be able to build the MVP for a real-time ML system in...

Sep 8

🎵 I want my money and I want it now 🎵 Real time is vital in the digital cash exchange space.

@CashApp

shares lessons learned in their #machinelearning journey to deliver large-scale recs in this video. ow.ly/Yn8b30sqkee

Lessons Learned: The Journey to Real-Time Machine Learning at Instacart

Sep 7

Lessons Learned: The Journey to Real-Time Machine Learning at Instacart by Guanghua Shu

tech.instacart.com

Authors: Guanghua Shu and Sahil Khanna

Sep 7

Real-time machine learning is still hard to do successfully. But achieving a flywheel effect with ML results in high performance and reliability. More in this blog post by Tecton CEO

@mikedelbalso