How data quality improves artificial intelligence
Jim Harris shares examples of how and why AI applications are dependent on high-quality data.
Tag: data quality
7 ways analytical methods improve data quality
Data scientists spend a lot of their time using data. Data quality is essential for applying machine learning models to solve business questions and training AI models. However, analytics and data science do not just make demands on data quality. They can also contribute a lot to improving the quality
Data stewardship for artificial intelligence
Jim Harris says curating AI’s curriculum is the responsibility of data stewards.