Data scientists are more needed in the world today than at any time in human history. Your task is to find and identify important information that can be used to solve the big unknowns and problems in science.

This work is being developed through digital repositories and the latest technologies such as supercomputers, which store large amounts of data that at some point, sooner or later, will need to be accessed.

The processes performed by these systems, which are later analyzed by scientists, work as if the needy would need an advance payment invoice, which is in a folder full of receipts, so people will have to review the paper until they find the extract you need. Except that the cars are doing this search in record time.

Although these mechanisms of data collection and analysis evolved after the invention of the first computers, New technologies of artificial intelligence in recent years have helped make these processes of organizing and extracting information easier and more automated.

With the new technologies used in computing and science, it has become possible to classify data into two types that are not particularly crucial for the development of research, so they are compressed and stored until the moment of processing. May be required. And data that is prioritized because it provides clues to address world-class threats.

To prioritize this data of scientific interest, computing technology has been introduced that quickly processes and refines these files, which are urgently required by scientists in medical or climate change studies.

This is all that is known as big data or macrodata, which is one of the technological innovations that contributes the most to the development of human civilization.

To date, big data is also a major tool in tackling world-class problems such as cyberattacks on governments or climate change and the consequences it leaves on food shortages.

Currently the planet Earth and all living beings living on it are experiencing a climate change crisis, which is mainly caused by human factors such as overpopulation and the development of industries that are harmful to the environment, leading to a lack of water, energy. And arable land.

Given the above, the biggest crisis in the world today is food restriction, so various studies and scientific advances are being conducted to address the situation.

For example, researchers at North Carolina State University, using artificial intelligence systems used on Big Data, have previously identified agricultural areas and crops that will be affected by droughts and floods in the near future.

For their part, a study conducted at the University of the United States by its authors seeks to create digital agricultural solutions that can deal with this environmental crisis through artificial intelligence systems that can optimize resource consumption in crops such as water.

Similarly, the United States space agency, NASA, has a mission to collect data to analyze the real situation of the planet’s fields, using high-resolution photos taken from space by a satellite.

In both investigations, the analysis of the collected data was carried out offline and thanks to the use of “machine learning” in real time, Lenovo explains that “the process is carried out as if it were a sandbox and teams are working in the background. From Global Data

Similarly, the brand, through the Lenovo Vantage website, points out that “artificial intelligence and mechanical engineering offer accelerated interpretation of data with greater efficiency and control. Thanks to these innovations, agricultural researchers are armed with artificial intelligence to work smarter, relying on data and technological solutions to address food security threats.

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