![]() ![]() “Hivemind is one of the pieces of our larger data pipeline ecosystem, with all of our tools working together as part of a single platform to move data efficiently through the computation and analysis that drives decision-making in our organization,” Jeff Wecker, CTO of Two Sigma, told VentureBeat. In fact, the company has been at it for years, working to embed greater efficiency and accuracy into various aspects of its data pipeline, from cleaning to mapping to creating unique datasets. Ultimately, the integration will amplify Two Sigma’s ability to ingest data quickly and utilize it more effectively for investment decision-making. Hivemind helps us to filter more complex data to make it useful,” Page added. “In financial services, we have to make sense of the world and markets through data that is often complex and not machine-interpretable. This, in effect, frees up our data science and research teams to focus on research rather than data prep, and our engineering teams from supporting non-standard datasets and rote data cleaning,” Carter Page, head of data engineering at Two Sigma, told VentureBeat. It brings more automation and accuracy to the preparation and onboarding of data, to enable cleaner data and better research. “Hivemind provides us with a framework for inserting the various forms of labeling into unstructured data. The company said it will integrate Hivemind’s offering to glean the ability to distill semistructured and unstructured data sources into high-quality, machine-readable datasets. With this deal, Two Sigma plans to enhance the data preparation, data workflow, and machine learning capabilities of its data engineering platform. Register Now How does Hivemind software fit in? ![]()
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