In order to build intelligent applications capable of understanding, machine learning models need to digest large amounts of structured training data. Gathering sufficient training data is the first step in solving any AI-based machine learning problem.
Across all data types - text, images, audio, video and geo - we can collect vast amounts of high-quality training data. This includes handwritten data collection as well as very specific data crowdsourcing requests for chatbot training or other AI-based applications.
Our data enrichment and data entry services will transcribe any existing data type and / or dataset into a digital format that is suited to machine learning. In addition to our data collection services via our global AI Community, we focus on data enrichment, data processing and data cleansing to ensure your raw data is validated for accuracy, consistency and completeness.
When training a model to process natural language, it needs to not only understand what the user is asking, but also the intent of the question regardless of how the user phrased it. We can capture custom intent variation datasets that cover all of the different ways that users from different backgrounds and age groups might express the same intent. Our services cover intent classification and intent recognition.
