DBfication of ML
Arun introduces the concept of "dbfication," drawing parallels between the evolution of databases and the current state of machine learning. He emphasizes the need for improvements in usability, scalability, and manageability within ML workflows, mirroring the advancements seen in relational SQL systems over the past four decades. The conversation highlights the essential role databases play in supporting and enhancing machine learning workloads.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The New DBfication of ML/AI with Arun Kumar - #553
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