The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Feature Stores for Accelerating AI Development - #432

Nov 30, 2020

In this discussion, Kevin Stumpf, co-founder and CTO of Tecton; Willem Pienaar, engineering lead at Gojek and Feast Project founder; and Maxime Beauchemin, founder of Preset and creator of Apache Airflow, dive deep into feature stores. They explore how feature stores can accelerate AI development, streamline data management, and address operational challenges. The conversation highlights the evolution of these stores, their importance in automating workflows, and the collaboration needed between data engineers and scientists to maximize efficiency.

56:16

Creator website

Episode guests

Maxime Beauchemin

Willem Pienaar

Kevin Stumpf

AI Chapters

Episode notes

Intro

3min

Navigating Feature Stores and Data Engineering in AI Development

3min

From Engineering to Data Science Leadership

8min

Navigating Machine Learning Challenges

9min

The Role of Feature Stores in Machine Learning

20min

Understanding Feature Stores in AI Development

11min

Expanding the Horizons of Feature Stores

2min

In this special episode of the podcast, we're joined by Kevin Stumpf, Co-Founder and CTO of Tecton, Willem Pienaar, an engineering lead at Gojek and founder of the Feast Project, and Maxime Beauchemin, Founder & CEO of Preset, for a discussion on Feature Stores for Accelerating AI Development.

In this panel discussion, Sam and our guests explored how organizations can increase value and decrease time-to-market for machine learning using feature stores, MLOps, and open source. We also discuss the main data challenges of AI/ML, and the role of the feature store in solving those challenges.

The complete show notes for this episode can be found at twimlai.com/go/432.

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