Ensuring high-quality experimental datasets: Data pipeline and AI-preprocessing tools for R&D data integrity
21 Nov 2024
Data Quality
- What are the main challenges in collecting high-quality data nowadays?
- What are the primary areas and applications where AI-based tools can facilitate the collection of high-quality data?
- How can AI-based tools help detect biases in data?
- How well can AI-based models reconstruct missing data?
- What strategies can be used to mitigate the impact of data biases and missing data on the generalization of AI models and the interpretation of their findings?
