When COVID-19 Struck, Human & Machine Intelligence Combined To Illuminate A Way Forward
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Cognizant’s XPRIZE Pandemic Response Challenge highlighted how advanced artificial intelligence and data modeling could inform decisions to safely and quickly reopen the world’s economies and societies, notes Alan Alper, Cognizant’s VP of Global Thought Leadership Programs.
As the COVID-19 pandemic quickly spread around the world, it became painfully clear that business-as-usual treatments and mitigation responses would be insufficient to match the pace and intensity of the virus’s spread. As lockdowns put our lives on an extended pause, new thinking was needed to combat the novel coronavirus a once-in-a-century black-swan event for which even the globe’s most prepared health systems were ill-equipped to contain, much less eradicate.
Teams turn to AI to tackle the spread of Covid
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Pandemic Response Challenge: XPRIZE and Cognizant announce Grand Prize winners
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XPRIZE und Cognizant geben die Hauptpreisgewinner der Pandemic Response Challenge zur weltweiten Wiederbelebung der Wirtschaft bekannt
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Winning AI models from VALENCIA IA4COVID19 of Spain and JSI vs COVID of Slovenia will help support decision-makers in determining pandemic intervention policies to safely reopen society
XPRIZE, the world s leader in designing and operating incentive competitions to solve humanity s grand challenges, in partnership with
Cognizant
(Nasdaq: CTSH), one of the world s leading technology and professional services companies, today announced the Grand Prize Winners in the
$500K Pandemic Response Challenge. The four-month global competition was designed to harness the power of data and artificial intelligence in equipping policymakers, health officials and business leaders with the insights and guidance necessary to implement public safety measures that help keep local economies open while minimizing virus outbreaks as vaccines become more widely available. These decision-makers are encouraged to use the results, methodologies and technology from the challenge as reference on appro