DMway analytics, leading provider of machine learning automation platforms, announced it was offering its predictive analytics and automated ML platform to every Ministry of Health department globally. In the USAthis includes all State level authorities and elsewhere the equivalent.
The DMway Auto-ML platform is developed by leading Ph.D.s in the field of auto-machine learning and data science, and can transform non-scientists (analysts, BIand data experts) into capable, insightful Data Science Citizens. In practical terms this means that the analysis of Covid-19 data that can currently be carried out by very few people, can now be carried out by many.We are weaponizing Data Science automation to fight back against the virus.
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Machine learning and predictive analytics aregoingto be key in winning the Covid-19 battle. That much is clear. Analyzing data isessential in being able to understand thespreadand treatment effectiveness. The world needs many more people analyzing the data. The insight from global information on the spread of the virus and itsbehaviorwill bekey inminimizing the damage. The ability to empower thousands of citizen data scientists could potentiallyrevolutionizethe speed at which we can react to data as it is made available.
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Gil Nizri, DMway analytics CEO, said:The time is right for technology leaders to donate as much as they can to help the world in confronting this invisible and brutal enemy.We have invested millions of dollars in our tool, but free access at this critical time is essential. Machine learning will be a key tool in dealing with Covid-19. We cannot see the use ofmachinelearningrestricted to a few individuals with access and knowledge of machinelearningtools. We hope the DMway tool will be used to empower thousands of relevantpeopleto analyze Covid-19 related data. It is simple to learn, and we will train people en-masse of up to 100 at atimevia video link from our HQ here inIsrael.Nizri added,Our machinelearningfor Covid-19 course has been especiallycartedthis past two weeks and adjusted to biologists, epidemic analysts and healthcare data experts.Covid-19 is the enemy. Let us fight this together.A global team against thiskiller.
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