With the rapid growth of Machine Learning initiatives, high quality labeled data is a competitive advantage. Many teams start out drawing from the same pre-trained data or open source datasets. However, the ability to convert raw data to model-ready data can be a real differentiator for organizations.
Having contextually-labeled data to use for training and validation of models is a requirement for long-term success with Machine Learning. This white paper shows how Alegion is able to guarantee quality through our platform, our CS team, and use of ML.