Webinar: Feature Stores for Accelerating AI Development
Skills:
ML Pipelines80%
Key Takeaways
The webinar discusses the role of feature stores, MLOps, and open source in accelerating AI development, with a focus on solving data challenges in AI/ML and increasing value and decreasing time-to-market for machine learning.
Original Description
In this panel discussion, we explore how organizations can increase value and decrease time-to-market for machine learning using feature stores, MLOps, and open source. We discuss the main data challenges of AI/ML, and the role of the feature store in solving those challenges.
The discussion is hosted by TWIML’s Sam Charrington, with special guests:
- Kevin Stumpf – Co-founder & CTO, Tecton
- Willem Pienaar – Engineering Lead, Gojek, and founder of the Feast project
- Max Beauchemin – Founder & CEO, Preset
For more great conversations like this one, check out the TWIML AI Podcast website:
https://twimlai.com
Video Contents:
0:00 Introduction
2:00 Welcome
4:50 Max - AirFlow & Apache SuperSet
8:00 Willem - Feast feature store
12:20 Kevin - scaling ML at Uber
16:40 Why is operationalizing ML so hard?
18:15 Data Engineering
21:30 Practitioner bias
25:35 ML in production
29:05 What are feature stores
32:20 Interfaces between data engineers and
data scientists
36:20 Feature reuse
37:50 Feature store guarantees
40:50 Data warehouses and feature store
43:10 Is it part of the data platform
45:30 Centralization vs decentralization
49:20 Incrementally adaptable
53:20 Feast joins the Linux Foundation
56:20 Audience questions
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Chapters (19)
Introduction
2:00
Welcome
4:50
Max - AirFlow & Apache SuperSet
8:00
Willem - Feast feature store
12:20
Kevin - scaling ML at Uber
16:40
Why is operationalizing ML so hard?
18:15
Data Engineering
21:30
Practitioner bias
25:35
ML in production
29:05
What are feature stores
32:20
Interfaces between data engineers and
36:20
Feature reuse
37:50
Feature store guarantees
40:50
Data warehouses and feature store
43:10
Is it part of the data platform
45:30
Centralization vs decentralization
49:20
Incrementally adaptable
53:20
Feast joins the Linux Foundation
56:20
Audience questions
🎓
Tutor Explanation
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