669: Streaming, reactive, real-time machine learning

Published: April 11, 2023, 11 a.m.

In this episode, Jon Krohn 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.\nThis episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.\nIn this episode you will learn:\u2022 About Pathway's reactive data processing framework [04:45]\u2022 Reactive data processing use cases [17:08]\u2022 What is the difference between batch and streaming processing [33:18]\u2022 Transformers in data engineering and data streaming [53:44]\u2022 The benefits of Adrian's technical background as a CPO [1:04:17]\u2022 Adrian's responsibilities and favorite tools as a CPO [1:15:25]\u2022 Emerging ML approaches and tools for startups [1:28:49]\nAdditional materials: www.superdatascience.com/669