669: Streaming, reactive, real-time machine learning

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.

This 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.

In this episode you will learn:
• About Pathway's reactive data processing framework [04:45]
• Reactive data processing use cases [17:08]
• What is the difference between batch and streaming processing [33:18]
• Transformers in data engineering and data streaming [53:44]
• The benefits of Adrian's technical background as a CPO [1:04:17]
• Adrian's responsibilities and favorite tools as a CPO [1:15:25]
• Emerging ML approaches and tools for startups [1:28:49]

Additional materials: www.superdatascience.com/669