Rackspace Technology, Along with University of California, Irvine, Scientific Systems, and Plan4Co Introduce New COVID-19 Forecasting Model
Rackspace Technology (NASDAQ: RXT) announced a partnership with UC Irvine, Scientific Systems Company, and Plan4Co to enhance COVID-19 forecasting models using Amazon Forecast. This collaboration aims to improve predictions related to hospital needs and disease trends. The project features two innovations: COVID DSAFE for weekly operational forecasts at various levels and COVID PrivyTRAC for secure contact tracing. The initiative leverages advanced machine learning and data processing capabilities on AWS, demonstrating significant accuracy improvements over traditional forecasting methods.
- Partnership with UC Irvine and others enhances COVID-19 forecasting capabilities.
- COVID DSAFE provides accurate operational forecasts at state, county, and zip-code levels.
- COVID PrivyTRAC focuses on secure contact tracing with advanced privacy features.
- Demonstrated significant improvements in forecast accuracy using Rackspace's technology.
- None.
SAN ANTONIO, Aug. 27, 2020 (GLOBE NEWSWIRE) -- Rackspace Technology™ (NASDAQ: RXT), a leading end-to-end multicloud technology solutions company, today announced it has partnered with University of California, Irvine, Scientific Systems Company, Inc., and Plan4Co to work on a project that underscores the effectiveness of Amazon Forecast in creating COVID-19 forecasting models with greater accuracy.
Forecasting models have the potential to assess the disease trends, including the COVID-19 pandemic. If the forecasts are accurate, the models can help project future needs of hospitals, identify and detect cases, contribute to overall scenario planning, and shape public policy.
“This partnership constitutes the kind of collaborative enterprise necessary to advance our forecasting capabilities in a more fine-tuned and nuanced way that may well yield important actionable policy initiatives,” said David A. Snow, Ph.D., Distinguished Professor Emeritus of the UC Irvine School of Social Sciences. Dr. Snow has led team-based homelessness research throughout the U.S. and the world, including Paris, Sao Paulo, Tokyo, and Orange County, CA.
Leveraging the serverless data processing solution built on Amazon Web Services (AWS) by Onica, a Rackspace Technology company, the team - comprised of experts in medical, academic, data science and forecasting fields - demonstrated that hospitalizations and deaths can be more accurately forecasted by utilizing the Rackspace Technology solution compared to other commonly used forecast models. The effort showed a significant improvement in the short-term accuracy of the forecasts by leveraging timeseries data ingested into a data lake built on AWS and pipelined into an advanced machine learning algorithm.
“We’re proud to play a role in helping humanity overcome the worst public health challenge we’ve seen in the modern era,” said Tolga Tarhan, CTO, Rackspace Technology. “We’re humbled that our data scientists were able to put our extensive AWS and AI/ML experience to work to predict future needs and strengthen planning efforts – both of which have never been more critical.”
The project is composed of two major innovations. The first innovation, known as COVID DSAFE, is intended to deliver improved data synthesis and advanced forecasting techniques. Powered by Amazon Forecast – a fully managed service that uses machine learning to deliver highly accurate forecasts – COVID DSAFE produces operational forecasts weekly at the state, county, and zip-code level.
The second innovation, known as COVID PrivyTRAC, is a contact tracing system that runs on AWS. This system provides for COVID contact tracing with advanced privacy and security features, addressing common privacy concerns via advanced statistical spatio-temporal models.
About Rackspace Technology
Rackspace Technology is a leading end-to-end multicloud technology services company. We can design, build and operate our customers’ cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products and adopt innovative technologies.
Media Contact
Natalie Silva
Rackspace Technology Corporate Communications
publicrelations@rackspace.com
FAQ
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