AI data enrichment platform Figure Eight (formerly known as CrowdFlower) announced a collaboration this week with Google Cloud. Through the partnership, Figure Eight will serve as the data launch partner for Google Cloud AutoML, helping AutoML customers collect and prepare data and experiment with models.
Google Cloud’s AutoML is a set of machine learning tools that help developers leverage Google’s transfer learning and Neural Architecture Search technology to train machine learning models. These tools require developers to have little knowledge of machine learning and therefore allow for fast scalability.
To simplify the process for developers, Figure Eight will offer AutoML-specific templates to simplify the process of uploading training data to AutoML, as well as consultation services and guidance for developers. With these tools and resources, AutoML customers can create training data to train, test, and improve their machine learning models.
Figure Eight already provides training data to other Google teams, such as Jigsaw; the newly formed collaboration with AutoML is an extension of those capabilities. Figure Eight CEO Robin Bordoli said that the collaboration stems from a common mission of democratizing AI. “We’re excited companies can use the Figure Eight platform to create the necessary training data to deploy computer vision machine learning models faster, more effectively and at a larger scale without having to build an internal team of machine learning experts,” said Bordoli.
Founded in 2009 as CrowdFlower, the company rebranded to Figure Eight in April to refocus on AI and machine learning opportunities. At FinovateFall 2014, the company won Best of Show for its demonstration on how its crowdsourced workforce quickly collects, cleans, and labels financial transaction data to help banks curate a better customer experience. Headquartered in California, Figure Eight has raised $58 million from firms including K9 Ventures, Industry Ventures, Trinity Ventures, and Bessemer Venture Partners.
Google Cloud presented a talk titled Journey to Cloud: First Steps, Production and Machine Learning at FinDEVr New York 2017.