Quality Assurance Best Practices for AI Training Data

As sytems that are based on artificial intelligence (AI) become more prevalent, the adage "garbage in, garbage out" has never been more applicable. While the tools and techniques for building AI-based systems have become democratized, the quality of AI predictions remains highly dependent on quality training data. Without data quality management, you will not be able to accelerate your AI development strategy. Data quality in AI has multiple dimensions. First, there is the quality of the source data.