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Artificial Intelligence needs data to be properly trained. A lot of data. Currently, it's estimated that 90% of the data generated globally is unstructured. This makes high-quality structured data expensive and hard to obtain in a useful timeframe. As a result, data scientists often end up scrubbing their own data, which can take up to 80% of their time, and is the least-enjoyable part of the process since data preparation distracts from their core function as a scientist. It has never been so easy to get datasets to train voice recognition systems or chatbots accurately.
We also have our own skilled community, which enables an unmatched human-in-a-loop service. With access to a global community in 46 languages across 53 countries, the client can personalize demographics such as age, location, gender, or even the proficiency level of a given spoken language. In addition to setting up technical details, like recording, encoding or the types of devices members should work from, clients can also access a specialized pool of linguists or specialized crowds in domains like banking or healthcare to meet the requirements for even the most literate AI systems.
In an effort to bring full transparency to what has been a blackbox process, the platform allows users to monitor, in real time, the progress of the ongoing project through a visualization dashboard. The full potential of an AI model is framed by the quality of the training data fed. DefinedCrowd empowers data scientists globally to compete and differentiate by providing an on-demand solution for high quality training data at their fingertips. With unlimited processed units daily, it is our mission to become the #1 go-to source for high-quality data for AI solutions.