At Lucd.ai we have developed an Enterprise AI platform that harnesses NSA-grade security and implements vendor-agnostic machine learning managed workflows within a groundbreaking user experience. The Lucd Enterprise AI platform is the only solution to provide much needed repeatability, built-in governance from data to trained models and explainability over the enterprise AI development pipeline.  Furthermore, we have leveraged gaming technology to develop groundbreaking visualization capabilities and provide true collaboration across all individuals in the Enterprise. Overall, this has dramatically lowered the barrier of entry to true enterprise-scale AI solution development.

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In 2006, our team began development on a unique capability for global pandemic modeling in response to the Avian influenza outbreak (H5N1). Working in collaboration with the U.S. Center for Disease Control and Prevention, MIT and Rensselaer Polytechnic Institute, over the last 13 years we developed the world’s largest-scale capability for modeling infectious disease spread at the person-level. Unlike mathematical models that are based on differential equations, our modeling effort focused on the human behaviors that can act to either mitigate or increase disease spread throughout the world. Our infectious disease model has been used to study multiple coronaviruses, dengue, hoof and mouth, tuberculosis, to name a few. And we have developed the unique ability to model the spread of multiple diseases and / or strains simultaneously within a population.

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The original focus of the modeling effort was not actually centered on mitigation. Our work was driven by the White House, Department of Homeland Security and the Government Accountability Office to focus on studying the impact of mitigations on public Internet, and impact on the financial services market.  Our studies included both credit and cash liquidity markets in an effort to keep the U.S. economy functioning. The study was coordinated under the DHS Office of Cyber Security & Communications (CS&C) and included input from the DHS Chief Medical Officer, Federal Communications Commission (FCC), and members of the Financial and Banking Information Infrastructure Committee (FBIIC). The effort included collaboration with representatives from major communications carriers and Internet Service Providers (ISPs) as well as members from the financial community contributed greatly.  Our modeling effort combined models of multiple complex systems and allowed us to understand the impact of disease spread and planned mitigation strategies on multiple complex systems.

 

With the onset of the Coronavirus epidemic we immediately began to work with the Joint AI Center in the U.S. Department of Defense, Health and Human Services, Defense Threat Agency and the U.S. National Guard to leverage our capability, but this time apply it with much richer datasets. Our work has been leveraged at the highest levels of the U.S. response, and within the private sector. We inform the response on who is most likely to be adversely affected by the disease spread. We predict when and where people are most likely to be affected. Most importantly, in an environment severely lacking in precise information on the extent of the disease spread, Avicenna is able to uncover the extent of the disease spread into the future.

 

The commercial sector has probably been some of the most exciting work we have performed. For major companies we are able to advise when, where and the extent that their workforces are going to be impacted by the spread of the disease, and with the right dataset, understand the downstream impact. Through our collaborations with data partners, we are able to understand the impact of COVID-19 on specific sub-populations. Understanding the effects of the disease on consumers, suppliers and other population cohorts has been enormously valuable to our partners in understanding what the future holds for their businesses, and more importantly, for their people.

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