Feature Stores for Accelerating AI Development - #432
2020-11-30 · 56 min · episode 432 · 15 entities
Asserted relationships
-
0.55
evidence rules-v4
Feed author/publisher: Sam Charrington
-
0.50
evidence rules-v4
CTO of Tecton
-
0.50
evidence rules-v4
CEO of Preset
-
0.40
evidence rules-v4
Feed category: Science
-
0.40
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed category: News
-
0.40
evidence rules-v4
Feed category: Tech News
-
0.40
evidence rules-v4
Feed author/publisher: TWIML
Entities found in this episode
companys 8
-
0.70
evidence rules-v4
Feed author/publisher: TWIML
-
0.62
evidence rules-v4
CTO of Tecton
-
0.62
evidence rules-v4
CEO of Preset
-
0.50
evidence rules-v4
Feed category: Technology
-
0.50
evidence rules-v4
CTO of Tecton
-
0.50
evidence rules-v4
CEO of Preset
-
0.40
evidence rules-v4
Feed category: Technology
-
0.40
evidence rules-v4
Feed author/publisher: TWIML
concepts 5
-
0.50
evidence rules-v4
Feed category: Science
-
0.50
evidence rules-v4
Feed category: Tech News
-
0.40
evidence rules-v4
Feed category: Science
-
0.40
evidence rules-v4
Feed category: News
-
0.40
evidence rules-v4
Feed category: Tech News
persons 2
-
0.70
evidence rules-v4
Feed author/publisher: Sam Charrington
-
0.55
evidence rules-v4
Feed author/publisher: Sam Charrington
Episode description as stored
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.