Benefits of Using Crowdsourced Data for Machine Learning Lionbridge AI

With the emergence of crowdsourcing platforms such as Amazon Mechanical Turk, more and more companies are making crowdsourced data a key component of their machine learning strategy. By engaging a group of crowdworkers, companies can distribute hundreds of thousands of machine learning microtasks quickly and cost-effectively. Listed below are just a few of the many advantages of using crowdsourced data in machine learning. A recent study by AI market research firm Cognilytica found that nearly 80% of time spent on AI projects revolves around collecting, cleaning, and labeling data. That leaves only 20% for model development, training and calibration.