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Developing the training sets to be fed into the machine learning algorithms is an uphill task. Accuracy and precision of outcomes are directly relevant to the quality of input sets since an AI/ML model is as smart as the data it is fed with. Errors or redundancies in the data annotation process can deviate from the results and create roadblocks in the business transformation plans.GET IN TOUCH: https://www.damcogroup.com/data-support-for-ai-ml#Dataannotaationservices#dataannotationcompanies#dataannotationinmachinelearning#datalabeling