COVID-19 Data and AI: Health ministers and technologyof the USA from the Office of Science and Technology of the White House asked for qualified scientists who are ready to "dig" into the terabytes of available data from research on COVID 19.
To give scientists easy access to research, the US government uploaded a database to a central hub called The COVID 19 Open Research Dataset.
So data scientists will have a way of helping health care workers and policymakers understand a growing body of data that holds the key to making informed decisions.
At present, we do not have the basic knowledge about COVID 19 as an answer to the most fundamental question: How many people have been infected? Health experts agree that guiding difficult future decisions requires reliable data that answers this question as well as other key questions.
What role should data scientists play in pandemic responses?
Gordon McDonald, is its CEO Capice, μια ομάδα εμπειρογνωμόνων AI από την Φλόριντα, που διαθέτει τα εργαλεία και το deep learning network that enterprise customers use to quickly train their models and generate predictions on things like customer spending habits, product pricing, and employee fatigue. After the call for help from the White House, McDonald decided to temporarily shift the company's priorities and resources to help with the COVID 19 data.
"The good news is that we have a lot of data," he says. "The bad news is that the organization and accessibility to this data does not exist and there are difficulties in accessing it.”
Deep Learning is not a standard algorithm: a user literally "teaches" the platform with hundreds of examples of different classifications or predictions. Then the future classifications and forecasts will be in the hands of the deep learning platform. ”
Is there any progress so far? How can the effort evolve in the coming weeks or months?
"There is at least one company, engine.is, that is trying to connect data science researchers with technology. I have offered the full services of my company in this endeavor, but all Deep Learning starts with the data and the data is what we need. ”
More coordination is needed, says McDonald. From this pandemic, it is possible that a new framework will emerge from which to develop data science as the first line for tackling urgent and evolving problems such as pandemics.
Until then, the ad hoc response is the best we have.
The interview at McDonald's was taken by Greg Nichols for ZDNet.
