Guests Matt Bleifer and Mike Eastham from Tecton discuss the challenges and use cases of Large Language Models and feature platforms in MLOps. They also introduce Tecton's new product RIFT, highlight the importance of choosing the right tool for the job, and delve into the design decisions and challenges of data processing and aggregation in a managed service.
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question_answer ANECDOTE
Matt's Full Circle Career
Matt Bleifer shared how a blog post about Uber's Michelangelo inspired his work on feature stores at Twitter.
He later joined the Uber team behind Michelangelo, completing a full circle in his career journey.
insights INSIGHT
Feature Platforms: Beyond Stores
Feature platforms go beyond feature stores by solving issues in engineering, storage, serving, and collaboration.
The difficulty lies in merging data science experimentation with software engineering operational rigor.
volunteer_activism ADVICE
Simplify Feature Engineering with RIFT
Simplify feature engineering by meeting users where they are, using Python and data warehouse tools.
Introduce RIFT, a Python-native compute engine for efficient feature transformations without heavy infrastructure.
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Matt Bleifer is a Group Product Manager at Tecton, where he focuses on the core product experience such as building, testing, and productionizing feature pipelines as scale.
Michael Eastham works as a Chief Architect at Tecton, which is a Business Intelligence (BI) Software company with an estimated 100 employees
Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency requirements, trust of output, and debugging. You will also get the opportunity to join workshops that will teach you how to set up your use cases and skip over all the headaches.
Join the AI in Production Conference on February 15 and 22 here: https://home.mlops.community/home/events/ai-in-production-2024-02-15
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MLOps podcast #209 with Tecton's Group Product Manager, Matt Bleifer and Chief Architect, Mike Eastham, Powering MLOps: The Story of Tecton's Rift brought to us by our Premium Brand Partner, @tecton8241 .
// Abstract
Explore the intricacies of feature platforms and their integration in the data realm. Compare traditional predictive machine learning with the integration of Linguistic Model Systems into software applications. Get a glimpse of Rift, a product enhancing data processing with smooth compatibility with various technologies. Join in on the journey of developing Rift, and making Tecton user-friendly, and enjoy Matt's insights and contributions. Wrap it up with lighthearted talks on future collaborations, music, and a touch of nostalgia.
// Bio
Matt Bleifer
Matt Bleifer is a Group Product Manager and an early employee at Tecton. He focuses on core product experiences such as building, testing, and productionizing feature pipelines at scale. Before joining Tecton, he was a Product Manager for Machine Learning at both Twitter and Workday, totaling nearly a decade of working on machine learning platforms. Matt has a Bachelor’s Degree in Computer Science from California Polytechnic State University, San Luis Obispo.
Michael Eastham
Michael Eastham is the Chief at Tecton. Previously, he was a software engineer at Google, working on Web Search.
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
Website: https://www.tecton.ai/Rift Article: https://www.tecton.ai/blog/unlocking-real-time-ai-for-everyone-with-tecton/
Rift: https://resources.tecton.ai/riftBig Data is Dead blog: https://motherduck.com/blog/big-data-is-dead/
--------------- ✌️Connect With Us ✌️ -------------
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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Matt on LinkedIn: https://www.linkedin.com/in/mattbleifer/Connect with Mike on LinkedIn: https://www.linkedin.com/in/mikeeastham/
Timestamps:
[00:00] AI in Production Conference
[02:13] Matt & Mike's preferred coffee
[02:37] Takeaways
[04:50] Matt & Mike's Tecton titles
[06:49] Matt's background in tech
[09:49] Mike's background in tech
[12:53] Tecton refresher
[18:23] Feature store to Feature platform
[21:06] Current evolution of Tecton
[24:41] The understatement
[26:12] Duck DB Con
[27:54] Rift
[30:10] Kafka Flink
[33:36] What is large in aggregations?
[38:09] Big Data is Dead!
[41:14] Principles of creating Rift
[45:54] The battle between Simplicity and Flexibility
[47:28] Is he serious? Segment
[50:54] Can you get any more hype Segment
[57:10] What are you excited about?
[1:02:45] Wrap up