Mitigating Data Science Risks
Erica emphasizes the inherent risks in data science compared to traditional engineering, suggesting that while uncertainty exists, there are ways to mitigate it. Jon echoes this sentiment, highlighting the importance of structured processes to avoid project failures in AI and machine learning. They also touch on the challenges of engineering at scale, particularly in real-time bidding systems at large platforms like Etsy.In this clip
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