Data Centric AI
The discussion highlights the evolution of machine learning, emphasizing that while creating models has become easier thanks to advanced tools and frameworks, the real challenge lies in gathering and selecting the right data. Insights reveal that despite progress, issues like technical debt remain relevant, underscoring the importance of data in developing effective AI solutions. The shift towards data-centric AI reflects a growing recognition that the quality of data is paramount for successful model training.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Data Debt in Machine Learning with D. Sculley - #574
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