Data is the lifeblood of AI, but how do you collect it?

When it comes to artificial intelligence (AI), there is no such thing as data overload. Because AI systems have the ability to process enormous amounts of data, and their accuracy increases along with data volume, the demand for data continues to grow. Consider, for example, an AI program designed to identify the cause of defective medical devices produced during the manufacturing process. As with any AI application, the software looks for patterns in the data using algorithms developed by data scientists. To try to solve this problem, suppose that the AI program receives and sorts through production data from different days of the week, times of day, machines and operators.