Machine learning algorithms learn from labeled data, data that has been tagged with labels. But developers do not explicitly program machine learning algorithms to make decisions, they program the models that learn from labeled data. Businesses adopt AI technology to automate decision-making and benefit from new business opportunities, however it is not as easy as it may seem. In fact, a McKinsey article listed data annotation as the most challenging limitations to AI adoption. Data labeling enables machines to gain an accurate understanding of real-world conditions and opens up opportunities for a wide variety of businesses and industries. Prepera takes the leap to train as many datasets as possible, making a remarkable move to minimize human intervention in the various phases of data preparation, thus increasing the velocity of annotation & ensuring high quality datasets for the AI models.