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How Can Machine Learning Contribute to Our Wellness?

In this contributed article, IT and digital marketing specialist Natasha Lane, asks the question, “Can machine learning contributed to our wellness?” Wellness is a somewhat elusive concept, defined by the WHO as “a state of complete physical, mental, and social well-being, and not merely the absence of disease or infirmity.” See ways ML can make a difference.

How Big Data Is Revolutionizing Sleep Science and Health

In this contributed article, IT and digital marketing specialist Natasha Lane, discusses how big data has become a big part of sleep science, and it is helping make big strides in the right direction. There’s no doubt that this relationship will become even stronger in the future as biomedical big data becomes more homogenized and handled more efficiently and carefully.

Big Data and Medical Research

In this contributed article, Magnolia Potter believes that the use of big data in medical research and advancement is of paramount importance. Artificial intelligence and machine learning are pioneering the ethical collection of medical data, the discovery of new drug therapies, and improved outcomes for patients. By analyzing public health concerns in real-time, big data can advance medical research in multiple fields, improve patient care, and prevent the spread of deadly diseases.

Keys to Managing Real Time Data During COVID-19

n this special guest feature, Ben Schein, VP of data curiosity at Domo, draws on his many years of experience with real time data working at Target during the days of Black Friday to the current day where he works to monitor a new COVID-19 tracker. There is something very powerful and culture changing about being connected to your data (and by extension your customer or constituent or patient) in real time.

The Data Governments are Using AI to Fight COVID-19 in Africa and Asia

Fraym is using artificial intelligence and machine learning to help aid organizations in Africa and South Asia identify populations at risk due to Covid-19 using new geospatial visualizations.

COVID-19: The Great Artificial Intelligence Accelerator

In this contributed article, Ramayya Krishnan, Ph.D., the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Heinz College and the Department of Engineering and Public Policy at Carnegie Mellon University, discusses how history shows, COVID-19 is likely to further reinforce the profound impact technology and AI have on our daily life. As long as we can collectively prepare for and embrace this reality – all indicators point to a promising future.

Did Big Data Fail Us During COVID-19?

In this contributed article, tech blogger Caleb Danziger observes that governments and organizations across the world have employed big data to respond to the COVID-19 crisis. Some continue to sing its praises, but should that be the case? How has the world of big data affected the fight against coronavirus?

Healthcare Hit by Data Tsunami

In this contributed article, David Leichner is CMO at SQream, discusses how healthcare organizations are waging battles against cancer, diabetes and heart disease while also struggling to beat the COVID-19 pandemic. Despite the fact all of these illnesses have different symptoms and causes they all have something in common. Big Data is being fed into models that can find potential treatment and cures.

Three Ways Data Scientists are Fighting COVID-19

Data scientists in academia, non-profits, and the government have come together to track and respond to the economic & humanitarian impacts of the coronavirus. Put together by our friends over at SafeGraph, here are three ways data scientists are fighting COVID-19.

Accounting for the Unknown in the Time of COVID-19: How Data Scientists Can Adapt

In this special guest feature, Jonathan Prantner, Co-founder & Chief Analytics Officer at RXA, discusses how given the fast-paced nature of the world right now, data scientists working to understand and predict business impact will need to adjust current models or build new ones to make sense of COVID-19.