The performance of machine learning and AI systems are dependent on accessing to high quality, labeled data. However, good data is extremely hard to find. This presentation discusses some of the technical solutions to common data problems using machine learning and AI, and points out that the human factor is an important non-technical solutions that is more effective and reliables at addressing data problems required for downstream AI applications.