Since 2010s, companies have been heavily investing in machine learning. Supervised learning is the most common form of machine learning today. Supervised learning algorithms need to be fed with labeled instances. This increases the importance of data labeling solutions.
Therefore, data labeling tools (open source vs proprietary), service providers and alternatives to data labeling are important aspects of a company’s data labeling strategy:
What is data labeling?
Supervised machine learning algorithms learn from labeled data, data that has been tagged with labels. Programmers do not explicitly program machine learning algorithms on how to make decisions, they program the models that learn from labeled data.