Real-Time Data Challenges
The transition from batch processing to real-time streaming is a significant challenge for machine learning engineers, requiring ten times the effort. Adrian discusses the importance of reactivity in handling changing data seamlessly. Additionally, he shares insights about his work at Pathway, a framework designed to simplify the creation of real-time data products. Plus, there's a fun giveaway of stylish hoodies for eager listeners!In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
669: Streaming, reactive, real-time machine learning — with Adrian Kosowski
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