{"id":7077,"date":"2022-02-03T07:24:10","date_gmt":"2022-02-03T06:24:10","guid":{"rendered":"https:\/\/immune.institute\/?p=7077"},"modified":"2022-02-03T07:24:10","modified_gmt":"2022-02-03T06:24:10","slug":"entrevista-monica-villas-inteligencia-artificial","status":"publish","type":"post","link":"https:\/\/immune.institute\/en\/blog\/entrevista-monica-villas-inteligencia-artificial\/","title":{"rendered":"Monica Villas: \"Every day we are surrounded by AI: it is not the future, it is the present\"."},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Far from the popular, and often fictional, ideal; Artificial Intelligence is part of people's lives. Today we speak with an expert in this technological field: <\/span><b>M\u00f3nica Villas is an industrial engineer, specialising in AI, Cloud, Blockchain, Analytics, and IT.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">An extensive CV, which also highlights her more than 20 years as a manager at IBM, as well as her experience as a lecturer at various institutions and her role as a collaborator with several organisations.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For over two years, M\u00f3nica has been part of the teaching staff at IMMUNE. <\/span><b>She is our Artificial Intelligence Knowledge Leader.<\/b><\/p>\n<h2><span style=\"font-weight: 400;\">To begin with, do you think society is aware of all the AI surrounding it?\u00a0<\/span><\/h2>\n<p><b>I don't think so. None of us.<\/b><span style=\"font-weight: 400;\"> In fact, in our courses, it's one of the first questions we ask: \u201cDo you use Artificial Intelligence?\u201d. And it's very surprising when half the class, or even almost no one, says they don't use Artificial Intelligence.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But, from the moment we get up in the morning, we have <\/span><b>Smart alarm clocks<\/b><span style=\"font-weight: 400;\"> which know how to wake us up at the time of day when we\u2019ve had enough sleep (it\u2019s no longer at a specific time).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Then, if we continue, we get up and look <\/span><b>The weather<\/b><span style=\"font-weight: 400;\">. That time is a prediction: we know what it does today, but we don't know what it will do in 3 days.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Or if we use any of our <\/span><b>apps for booking a taxi or transport<\/b><span style=\"font-weight: 400;\">, they do a predictive analysis and assign us that vehicle, based on how far away it is. Or if any of you have a <\/span><b>Rumba<\/b><span style=\"font-weight: 400;\">, one of these devices that automatically vacuum the house, also has its AI algorithms where they predict which parts of the house get dirtiest, etc.<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Every day, we are surrounded by AI or algorithms that use AI. It's not the future, it's the present.<\/span><\/p>\n<\/blockquote>\n<h2><span style=\"font-weight: 400;\">2. How has AI evolved in recent times?\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">AI is from the 1950s. From the important milestones in that era, we have moved on to having that famous chess match between Kasparov, which the IBM machine, Deep Blue, won in '97; but, <\/span><b>Really, when AI has evolved is in the last 10 years<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It has evolved a lot due to the data paradigm we have now. Infrastructures have changed, the way of computing has changed.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">We have the <\/span><a href=\"https:\/\/immune.institute\/en\/entrevista-carlos-carus-cloud-computing\/\"><span style=\"font-weight: 400;\">Cloud<\/span><\/a><span style=\"font-weight: 400;\"> available, we have infrastructures that are already capable of performing very advanced calculations and not at a very high cost.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">And it has also been thanks to <\/span><b>Now we have algorithms available to everyone in the world, which everyone can use.<\/b><span style=\"font-weight: 400;\">. In the last ten years, we've seen the autonomous car make use of AI capabilities, as another new AI machine, Google DeepMind, beat the best Go player, and we've seen the first painting made by AI. <\/span><b>The advancements are very important.<\/b><\/p>\n<h2><span style=\"font-weight: 400;\">3. A European Digital Strategy, the White Paper on Artificial Intelligence, the European AI Regulation\u2026 these are just a few examples with which the European Union has set some guidelines for AI. Do you believe that Artificial Intelligence must or should have limits?\u00a0<\/span><\/h2>\n<p><b>Without a doubt, Artificial Intelligence must be ethical. And I am not alone.<\/b><span style=\"font-weight: 400;\"> As we have seen, Europe is leading this change towards ethical Artificial Intelligence. Responsible AI.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It's true that it's a technology that will help us to automate and improve our businesses. But, on the other hand, it's a technology that makes automatic decisions. That is the key point that has prompted the EU's reaction and this regulation, which has been a proposal since April 2021 (and has been in development for 3 years).\u00a0<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">It is a privilege for those of us working in Europe that this Artificial Intelligence regulation thinks about ethical and responsible AI.\u00a0<\/span><\/p>\n<\/blockquote>\n<p><b>We need to create ethical AI that is free from bias.<\/b><span style=\"font-weight: 400;\"> Well-known things like Amazon's algorithm that only selected men for hiring, or certain decisions being made based on errors that could have been foreseen, cannot happen.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">4. In your opinion, what awaits us from AI in the future?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">I would like to have that magic ball to know what awaits us in the future. <\/span><b>I believe many changes are being sighted, particularly in the area of natural language.<\/b><span style=\"font-weight: 400;\"> AI is made up of Machine Learning and Deep Learning. And Deep Learning is the area that is growing the most.<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">The natural language area with GPT3 \u2013 and we're already on GPT4 \u2013 is a Deep Learning algorithm with billions of parameters that is capable of recognising natural language with ever-increasing accuracy.\u00a0<\/span><\/p>\n<\/blockquote>\n<p><span style=\"font-weight: 400;\">This is going to help us improve our Spanish, for example. <\/span><a href=\"https:\/\/www.elespanol.com\/el-cultural\/ciencia\/20210728\/maria-primera-inteligencia-artificial-experta-lengua-espanola\/599941808_0.html\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Maria<\/span><\/a><span style=\"font-weight: 400;\"> From MareNostrum Artificial Intelligence, which is led by SEDIA, it also helps the Spanish language to be better understood by machines... I think they will go in that direction.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Also, we have to take into account the <\/span><b>quantum computer<\/b><span style=\"font-weight: 400;\">. We are looking at the future with the eyes of computers as we know them now. Quantum computing will, in some way, bring us better computing times and allow us to solve problems that we haven't been able to solve with traditional computing up until now.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Another area where AI is being used a lot is in <\/span><b>Medicine<\/b><span style=\"font-weight: 400;\">. Last year, Google's DeepMind, in the <\/span><a href=\"https:\/\/elpais.com\/ciencia\/2021-07-22\/la-forma-de-los-ladrillos-basicos-de-la-vida-abre-una-nueva-era-en-la-ciencia.html\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Project AlphaFold<\/span><\/a><span style=\"font-weight: 400;\">, It predicted how proteins are able to come together, how amino acids join to form a protein. This - in medical terms - used to cost thousands of euros and years. And we've moved to shortening this process.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">5. Data Science is, without a doubt, another of the booming tech sectors. What kind of professional profile can enter the so-called \u201cdata science\u201d?<\/span><\/h2>\n<p><b>I don't think there's a typical professional profile. <\/b><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/immune.institute\/en\/data-science\/\"><span style=\"font-weight: 400;\">DATA SCIENCE<\/span><\/a><span style=\"font-weight: 400;\"> It is made up of 3 interconnected circles. Technology, on the one hand, referring to all Machine Learning algorithms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Then we have a part which is the <\/span><b>Mathematics and Statistics<\/b><span style=\"font-weight: 400;\">, which is important. And the last one \u2013 which we often forget \u2013 which is about <\/span><b>the industry<\/b><span style=\"font-weight: 400;\">. The marketing industry isn't the same as retail or the electricity sector\u2026<\/span> <span style=\"font-weight: 400;\">And AI can help in all.<\/span><\/p>\n<p><b>These 3 parts need to be combined to get a data scientist.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Who is the profile? We have marketing profiles who come to learn more about the technology side, just as we have technology profiles who want to learn more about algorithms or computing.\u00a0<\/span><\/p>\n<blockquote>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Data science might indeed be better positioned for those coming from the tech world, but right now it's open to anyone who wants to leverage data to improve their business.<\/span><\/p>\n<\/blockquote>\n<h2><span style=\"font-weight: 400;\">And what kind of companies demand data scientists?<\/span><\/h2>\n<p><b>Any company that wants to unlock the potential of its data to improve its business. <\/b><span style=\"font-weight: 400;\">The Data Never Sleeps report, which states we generate 2.5 trillion data points daily, highlights the need for this technology. I can't extract data manually. I need to learn how to harness this Big Data and apply AI to it.<\/span><\/p>\n<p><b>Where is this valid?<\/b><span style=\"font-weight: 400;\"> In marketing, to improve online marketing or its automation and see which products to recommend, or also in the detection of anomalies in an X-ray, or in the predictive maintenance of machines, or for the prediction of electricity demand... In short, <\/span><b>Any company that has data.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Furthermore, a recent report \u2013 which discusses the jobs of the future \u2013 places the data scientist in second position, after the need for professional profiles to support online sales.\u00a0<\/span><\/p>\n<p><b>For example, we could have a data scientist who knows how to interpret all that online and offline data that we receive from our customers<\/b><span style=\"font-weight: 400;\"> to make the best possible offers or to make the most of that data we have and personalise the offer.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">7. Given your extensive experience in the sector, what would you tell a future student who wants to train in Data Science or Artificial Intelligence?\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">It's not just from my experience, if you read the LinkedIn, InfoJobs, and Adecco Business Insider Report, which talks about the jobs of the future, those jobs include: <\/span><b>The Big Data specialist, the Cloud specialist and the Data Scientist.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">It is these tech profiles who will be able to access this data. Some will be more technical to analyse in a bit more detail (Big Data), others to know where to put that data (the subject of Cloud), and the data scientist will want to extract value from the data.<\/span><\/p>\n<p><b>What I recommend to profiles is that they never lose that business side.<\/b><span style=\"font-weight: 400;\"> Data science roles are those that seek to solve a business problem using the data I have. That data will be in the cloud and will be protected for reasons of <\/span><a href=\"https:\/\/immune.institute\/en\/programas\/bootcamp-en-ciberseguridad\/\"><span style=\"font-weight: 400;\">cybersecurity<\/span><\/a><span style=\"font-weight: 400;\"> or perhaps Big Data; but let's never forget the business side.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is why, in our training... <\/span><a href=\"https:\/\/immune.institute\/en\/sobre-nosotros\/\"><span style=\"font-weight: 400;\">IMMUNE<\/span><\/a><span style=\"font-weight: 400;\">, we combine the technological part (all that knowledge necessary for the data cycle) with a business part, which are our \u201cIndustry Talk\u201d sessions (knowing what's happening in the market); where experiences in the industry with AI are discussed.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Lejos del ideario popular, muchas veces venido de la ficci\u00f3n; la Inteligencia Artificial forma parte de la vida de las personas. Hoy conversamos con una experta en este campo tecnol\u00f3gico: M\u00f3nica Villas es una ingeniera industrial, especializada en IA, Cloud, Blockchain, Analytics e IT. Un extenso curr\u00edculum, en el que tambi\u00e9n destacan sus m\u00e1s de [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":7875,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ai_generated_summary":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-7077","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\/7077","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=7077"}],"version-history":[{"count":0,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/posts\/7077\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media\/7875"}],"wp:attachment":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media?parent=7077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/categories?post=7077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/tags?post=7077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}