Overview
Data usability and data science are two distinct concepts that often overlap, with data usability focusing on making data accessible and usable for decision-making, while data science emphasizes the extraction of insights and knowledge from data, as seen in the work of companies like Google, Amazon, and Facebook, which rely on data-driven decision making, similar to the approach taken by experts like Andrew Ng and Fei-Fei Li, who have worked on projects like ImageNet and AI for Everyone, and have been influenced by the ideas of pioneers like Alan Turing and Marvin Minsky