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Industrial AI Podcast

What is data centric AI and why is it important for industrial AI?

Apr 12, 2023
The podcast explores topics like data quality, robustness in AI, and the data centric approach. It also covers discussions on Amazon's dataset, interviews with AI experts like LeCun and Andrew Ng, and the importance of data in industrial AI solutions.
01:06:10

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Iterative approach to building training datasets is crucial for enhancing industrial AI solutions.
  • Spotlight tool by Renomics simplifies data curation by detecting data leakage efficiently.

Deep dives

Boosting Industrial AI Through Data Quality Improvement

Improving data quality is crucial for enhancing industrial AI solutions. Stefan Zübelach discusses the importance of a systematic and iterative approach to building great training datasets, leveraging insights from trained models. He emphasizes the significance of data inspection, tagging, and the use of self-supervised learning to extract valuable information.

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