A need for clean: This startup is automating data cleaning to keep up with AI demand
To build artificial intelligence you need droves of data. But if your data isn’t clean, the intelligence it produces won’t be either. AI systems learn from the data they are trained on, so any errors or inconsistencies in the data can lead to incorrect or unreliable outcomes. According to IBM, data scientists spend around 80 per cent of their time cleaning and organizing data, highlighting the importance of clean data in AI development.
