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Garbage in is garbage out. Nothing is more true in the world of AI. The market for data labeling is growing and becoming very important as more and more companies need clean, accurate, well-labeled data for ML training. In this podcast we share key stats and insights from Cognilytica’s recent Data Engineering, Preparation, and Labeling for AI 2019 report including AI’s secret, the market for data prep solutions, and why garbage data in produces garbage out.
- REPORT: Data Engineering, Preparation, and Labeling for AI 2019
- The Achilles’ Heel of AI
- Data preparation for machine learning still requires human