Data analysts know that all data is dirty. Although numerous services offer data cleaning and harmonization, their accuracy is usually too poor to make them useful. According to Amit Garg, CEO and co-founder of HiLabs, even AI-based solutions produce too many false positives—a problem his company has solved by working with business domain experts and creating healthcare-specific ontologies.