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On March 16, 2020, the Allen Institute for AI, Chan Zuckerberg Initiative (CZI), Georgetown University’s Center for Security and Emerging Technology (CSET), Microsoft, and the National Library of Medicine (NLM) at the National Institutes of Health made available to the scientific and data science research communities the COVID-19 Open Research Dataset (CORD-19), a corpus of data and information on COVID-19, SARS-CoV-2, and the Coronavirus group.
In response to this global emergency, Axilient has already committed resources to mining and analyzing the provided data, as well as identifying and aggregating data and information that may be useful to stopping or mitigating this, and future global health crises.
Additionally, we call on all others in the field of Data Science & Artificial Intelligence research to join us.
Available datasets can be found here:
Research, tools, and techniques may be submitted via Kaggle, the Google owned machine learning and data science community platform, which can be found here.
In the meantime, we encourage everyone to observe the social distancing and hygiene recommendations of or doctors, scientists and public health officials.
Walter Kawecki, III
CEO, Axilient, Inc.
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Powerful, modular, and fully configurable enterprise-class data pipeline, prep and pre-processing technology, plus a hands-on team, means the ability to implement end-to-end AI, ML and real-time analytics capabilities over time, while maximizing real business value every step of the way.
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