Machine learning makes improving Data Quality easier. Data Quality refers to the accuracy of the data: High-quality data is more accurate, while low-quality data is less accurate. Accurate data/information supports good decision-making. Inaccurate data/information results in bad decision-making.
So, intelligent decision-making can be supported by supplying accurate information through the use of machine learning.
Machine learning (ML) is a subdivision of artificial intelligence (AI). However, during the late 1970s to early ’80s, AI researchers lost much of their research funding – by way of exaggerated and broken promises.
