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Episode
669: Streaming, reactive, real-time machine learning — with Adrian Kosowski
Views
1K
0.1× the show’s average
Episode1K
Show avg17K
Published
3y ago
Apr 11, 2023
Length
1h 39m
show avg 1h 09m
From the show
Chapters
#MachineLearning #DataProcessing #RealTimeML In this episode, @JonKrohnLearns welcomes Adrian Kosowski, Co-Founder and Chief Product Officer at Pathway, who shares insights on streaming data processing and reactive data processing, and how they're shaping the future of machine learning. Tune in now for an unforgettable episode. This episode is brought to you by Posit, the open-source data science company (https://posit.co/academy), and by AWS Inferentia (https://go.aws/3zWS0au). Interested in sponsoring a SuperDataScience Podcast episode? Visit https://jonkrohn.com/podcast for sponsorship information. In this episode you will learn: Additional materials: https://www.superdatascience.com/669
- 0:00Introduction
- 1:30About Pathway's reactive data processing framework
- 14:46Reactive data processing use cases
- 31:11What is the difference between batch and streaming processing
- 51:59Transformers in data engineering and data streaming
- 1:02:21The benefits of Adrian's technical background as a CPO
- 1:13:37Adrian's responsibilities and favorite tools as a CPO
- 1:26:55Emerging ML approaches and tools for startups
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