{"id":2162,"date":"2021-01-18T22:00:00","date_gmt":"2021-01-18T22:00:00","guid":{"rendered":"https:\/\/colombiagames.com\/?p=2162"},"modified":"2021-06-25T21:43:38","modified_gmt":"2021-06-25T21:43:38","slug":"5-new-technologies","status":"publish","type":"post","link":"https:\/\/colombiagames.com\/5-new-technologies\/","title":{"rendered":"5 New technologies that are changing the world and where to study them (2021)"},"content":{"rendered":"\n

New technologies are evolving at such a rapid pace that annual predictions are often out of date when published in news or articles.
 
These technological advances<\/a> are the main engines of innovation and progress in various areas of humanity: from the sciences, to the arts and governments.
 
New technologies such as artificial intelligence, blockchain and video games are essential to think about the digital transformations<\/a> that we hope to see in the coming years.
 
That’s why it makes sense that, according to IDC’s Semi-Annual Guide to Digital Transformation<\/a>, global annual spending on digital transformation technologies and services is expected to grow by 10.4% in 2020.
 
Even with the pandemic crisis, this is quite a significant growth (in 2019 the figure was 17.9%).
 
The numbers only confirm what we experience on a daily basis: the application of new technologies is growing at an accelerated rate and that is why the market increasingly needs more professionals specialized in the development of these new technologies.<\/p>\n\n\n\n

New technologies for a new world<\/h2>\n\n\n\n

Although professional careers do not grow at the same rate as their applications in the real world, without a doubt, traditional institutions and virtual courses are constantly evolving and updating.<\/p>\n\n\n\n

Next we will explain what are some of these new technologies, why it is advisable to study them and where you can do it.<\/p>\n\n\n\n

Keep in mind that the courses and diplomas that we present to you in this guide require, for the most part, a tuition investment.<\/p>\n\n\n\n

Data Science<\/h3>\n\n\n\n

Data science is a field of study that combines programming skills and knowledge in mathematics and statistics in order to extract conclusions or information from data sets.<\/p>\n\n\n\n

Data scientists apply machine learning to numerical data, or text, images, videos, audios, among others; to produce artificial intelligence systems that can perform tasks that normally require human intelligence.<\/p>\n\n\n\n

These systems are capable of generating conclusions (or \u201cinsights\u201d) that analysts then translate into valuable data for businesses, organizations or scientists.<\/p>\n\n\n\n

More and more companies are realizing the great importance<\/a> of data science and artificial intelligence.<\/p>\n\n\n\n

No matter what the industry or the size of the business, brands that want to excel must be up to date with their capabilities in data science, which includes the famous Big Data.<\/p>\n\n\n\n

Big Data refers to the problems associated with processing and storing different types of data. Most companies use big data analytics to have a clear understanding, among others, about:<\/p>\n\n\n\n