AI’s fuel: Why the world is teaming up for datasets

Any plan for a digital revolution identifies reskilling people as a key requirement. Similarly, in a technology-driven world, building artificial intelligence (AI) algorithms requires the right data. If a well-trained professional creates efficient output, strong training data can form an effective AI algorithm.

Training data is the fuel for AI. Data fed into an AI algorithm is a key determinant of the efficiency and quality of the output. “Data training refers to providing a machine learning algorithm with labeled or categorized examples to help it recognize patterns. These examples can range from images and text documents to numerical values. The goal is for the algorithm to create a representation based on input-output correlations, which it can generate