Balancing Innovation and Safety
Jürgen shares insights from his experience with the United Nations, highlighting the unique blend of safety and innovation in data science. Amr discusses the internal conflict within enterprises, where data scientists push for innovation while operators prioritize stability and security. This tension often leads to data leakage and challenges in maintaining data integrity, prompting the development of a framework to bridge these gaps.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309
Related Questions