The World Health Organisation has declared COVID-19 as a global pandemic. While researchers, doctors, and scientists are playing a major role in finding a solution to this problem, can technology be used as an added advantage? Here are some of the latest advancements which have taken place in the field of Data Science and Analytics over the last week.
Shortly after a teenager in Seattle was diagnosed with COVID-19, researchers shared genomic data about the teenagers strain of the virus with other researchers on an “open science” site. With the help of such data, researchers will be able to track the evolution of COVID-19 and other such diseases. Scientists are able to quickly analyze genetic samples which help shape the public response. Nonetheless, rushing to interpret data can lead to new risks. Read to know more about how the coronavirus spreads and how Data is useful in combating the same.
Also Read: Can AI detect Coronavirus in 20 seconds?
At the moment when there is immense pressure around climate change, thoughtful and efficient land use is crucial. Arable Labs Inc unveiled a suite of new tools that offer a solution to the crisis humans are facing across the globe. Agricultural producers who want to manage their fields with high-quality data and insights can make use of this latest technology. Arable has made use of data and analytics to build a more sustainable agricultural future. It has helped leaders across 37 countries and 5 continents.
Data Science is a hot topic among skilled professionals who are focusing on collecting data and drawing meaningful insights to aid business growth. We have come a long way from working with small sets of structured data to large mines of semi-structured or unstructured data. If you wish to stay relevant with the current technological trends being used by various industries, learning Data Science can be very beneficial. This article lists 14 books that will aid your understanding and help you learn more.
Also Read: Top Machine Learning books for 2020
We are currently living through the early stage of the fourth industrial revolution, which can also be known as Industry 4.0. The term was coined by Klaus Schwab, the executive chairman of the World Economic Forum and refers to new technology that is intertwined with our day-to-day life like never before. As Sci-fi, AI and Robotics gain attention in the media, their key success lies in the data they rely on. Each of the previous industrial revolutions has led to an increase in the amount of data being generated by us as a species.0