Solving the data quality problem in generative AI

The potential of generative AI has captivated both businesses and consumers alike, but growing concerns around issues like privacy, accuracy, and bias have prompted a burning question: What are we feeding these models?

The current supply of public data has been adequate to produce high-quality general purpose models, but is not enough to fuel the specialized models enterprises need. Meanwhile, emerging AI regulations are making it harder to safely handle and process raw sensitive data within the private domain. Developers …

accuracy artificial intelligence bias businesses concerns consumers current data data governance data management data quality general generative generative-ai potential privacy problem public public data quality question software development