{"id":15905,"date":"2019-03-22T12:25:44","date_gmt":"2019-03-22T11:25:44","guid":{"rendered":"https:\/\/immune.institute\/?p=824"},"modified":"2019-03-22T12:25:44","modified_gmt":"2019-03-22T11:25:44","slug":"para-que-utilizamos-la-inteligencia-artificial-y-el-machine-learning","status":"publish","type":"post","link":"https:\/\/immune.institute\/en\/blog\/para-que-utilizamos-la-inteligencia-artificial-y-el-machine-learning\/","title":{"rendered":"WHAT DO WE USE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR?"},"content":{"rendered":"

The two terms, although similar, define very different actions. As we explained in previous posts<\/a>While Artificial Intelligence is the \"broad\" concept, where machines are attributed the ability to carry out tasks in a similar way to human intelligence; Machine Learning is the application of this intelligence to machines with one objective: that they learn by themselves.<\/p>\n

But what are these technologies used for, and what benefits do they bring to our daily lives?<\/p>\n

Increased security<\/strong><\/p>\n

Machine learning technology can do more for us than we realise. For example, it can be of great use to us in terms of security<\/strong> of data<\/a>. At this level, machine learning can help us predict which of the files arriving in our inbox are malware with high accuracy, by identifying different patterns in how this malicious file accesses stored data and reporting anomalies that can lead to a vulnerability<\/a>. Paypal is also using machine learning to combat money laundering. The US company has tools that analyse and compare millions of transactions, distinguishing between legitimate and fraudulent transactions and between buyers and sellers.<\/p>\n

Increased performance<\/strong><\/p>\n

Both Artificial Intelligence and Machine Learning are applied in the business world with the main objective of improving customer service. For example, thanks to the automation of processes, the user can get to what they are looking for more quickly, eliminating previous steps that the machine learning algorithm has already learned. Neuro-linguistic programming has also helped in this task. This technology has been used, for example, to translate the legal jargon used in different contracts into a simple and accessible language for users.<\/p>\n

Artificial Intelligence and Machine Learning have also helped the development of e-commerce. Chatbots, programmes that simulate a conversation with the user based on a series of automated responses defined by their developers, make it possible to automate responses, save staff costs, boost communication and brand reputation in their social networks and are really useful when talking about the use of new IT services or in the management of purchases.<\/p>\n

Better watch out...<\/strong><\/p>\n

... of our health. Artificial Intelligence, beyond putting doctors \"out of a job\", is not only leaving them will assist and complement<\/a> in their activity. This alliance between machines and specialists has led to the development of different technologies that, for example, help us to recognise a heart attack over the phone. The Dutch startup Corti has created an Artificial Intelligence that recognises words, hidden clues and reads between the lines in order to recognise a heart attack during an emergency call, and RadIO has been developed to detect cancer early, without resorting to specialised devices.<\/p>\n

Incluso la Inteligencia Artificial podr\u00eda aplicarse a algo tan cotidiano y que tanto preocupa a los padres alrededor del mundo: \u201c\u00bfpor qu\u00e9 llora mi beb\u00e9?\u201d. Ana Laguna, Data Scientist de BBVA ha desarrollado un algoritmo que escucha el llanto del peque\u00f1o e identifica la causa del llanto. El primer paso fue la recopilaci\u00f3n de datos, en este caso, audios de esos lloros. El segundo, etiquetarlos y, el tercero, la versatilidad. El estudio de Laguna le llev\u00f3 a desarrollar un total de siete etiquetas, etiquetas que su algoritmo pod\u00eda empezar a aprender… y a trav\u00e9s de las que este podr\u00e1 llegar a ayudar en el diagn\u00f3stico precoz de enfermedades, como el autismo.<\/p>\n

Just like Laguna developed this algorithm, you can also learn how to do it... and you don't need to be an expert to do it. Do you have an idea and want to put it into action? At IMMUNE, we make it possible thanks to our Specialized Bootcamp<\/a>: Applied Machine Learning.<\/p>\n

Este programa tiene como objetivo presentarle al usuario todo un abanico de t\u00e9cnicas con las que dise\u00f1ar sus propios sistemas. Estas est\u00e1n orientadas al dise\u00f1o y transformaci\u00f3n de procesos de negocio. Adem\u00e1s, durante el curso, se estudiar\u00e1n las bases que permitan dise\u00f1ar nuevos servicios, mejorar los ya existentes y ayudar, en general, a la transformaci\u00f3n digital de una organizaci\u00f3n a trav\u00e9s de la Inteligencia Artificial, como puede ser la implantaci\u00f3n de chatbots, sistemas de recomendaci\u00f3n…<\/p>\n

And not only this one, since our centre offers different degrees and masters specialised in new technologies, as well as the degree in software engineering<\/a> Do you want to know more? Welcome to IMMUNE.<\/p>","protected":false},"excerpt":{"rendered":"

Both terms, although similar, define very different actions. As we explained in previous posts, while Artificial Intelligence is the \"broad\" concept, where machines are attributed the ability to carry out tasks in a similar way to human intelligence.<\/p>","protected":false},"author":3,"featured_media":7492,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_crdt_document":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-15905","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"_links":{"self":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/15905","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/comments?post=15905"}],"version-history":[{"count":0,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/15905\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media\/7492"}],"wp:attachment":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media?parent=15905"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/categories?post=15905"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/tags?post=15905"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}