{"id":7366,"date":"2025-04-27T17:49:00","date_gmt":"2025-04-27T22:49:00","guid":{"rendered":"https:\/\/avaltec.com.co\/?p=7366"},"modified":"2025-04-28T00:11:16","modified_gmt":"2025-04-28T05:11:16","slug":"el-impacto-del-aprendizaje-automatico-y-la-ciencia-de-datos-en-el-sector-inmobiliario","status":"publish","type":"post","link":"https:\/\/avaltec.com.co\/english\/el-impacto-del-aprendizaje-automatico-y-la-ciencia-de-datos-en-el-sector-inmobiliario\/","title":{"rendered":"The impact of machine learning and data science on the real estate industry."},"content":{"rendered":"
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Undoubtedly, one of the most fascinating aspects of applying data science and machine learning in the built environment is the potential they offer. For Dr. Andrea Chegut, one of the most exciting possibilities is the creation of a \u201cdigital twin.\u201d This innovation involves taking a physical asset, such as a building, and transforming it into a digital replica. This capability allows us to transcend traditional limitations in various fields, from architecture and construction, to aspects such as financing and demolition.<\/p>\n

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Transcription - English<\/h2>\n
Video en ingles<\/u><\/b>

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There are many ways in which data science and machine learning can be applied in the built environment.<\/span><\/p>\n

These can affect the real estate industry in ways you should consider. Let's look at how data science and machine learning have been used so far and how they have impacted people, businesses and the built environment. One area that is often overlooked, but is actually a driving force, is the construction industry.<\/span><\/p>\n

Hace m\u00e1s de 50 a\u00f1os, astrof\u00edsicos e ingenieros imaginaron una manera de poder trabajar en tecnolog\u00edas que eran activos f\u00edsicos y convertirlas en r\u00e9plicas digitales, de modo que pudieran permitir e imaginar un futuro estimulado y fabricado de algo f\u00edsico sin tener que cambiar. \u00e9l. El entorno construido se ha adaptado a esta tecnolog\u00eda, que se llama gemelo digital. La idea de poder tomar algo f\u00edsico y crear una r\u00e9plica digital exacta de \u00e9l.<\/span><\/p>\n

This technology is fundamentally based on the idea that we get the basic data, the basic aspects of a physical object, such as a building or a transportation infrastructure, and then we take that data and enable it to be transformative or durable with sensors. . When we take this pairing of basic static data and combine it with dynamic, life-time sensitive data, we create an environment where we can begin to imagine a dynamic digital twin of a living, breathing, physical being and watch it change over time.<\/span><\/p>\n

Now, the power of this technology for the built environment is that we can understand what we could do in a physical asset without having to completely build it, or allow changes to something that is already physically built, but allows for different futures. or programming possibilities. The power of this technology will affect construction, architecture, finance, demolition, you name it.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Sin duda, uno de los aspectos m\u00e1s fascinantes de aplicar la ciencia de datos y el aprendizaje autom\u00e1tico en el \u00e1mbito construido es el potencial que ofrecen. Para la Dra. Andrea Chegut, una de las posibilidades m\u00e1s emocionantes es la creaci\u00f3n de un “gemelo digital”. Esta innovaci\u00f3n implica tomar un activo f\u00edsico, como un edificio,…<\/p>","protected":false},"author":1,"featured_media":5994,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"order-bump-settings":[],"_wpfnl_thankyou_order_overview":"on","_wpfnl_thankyou_order_details":"on","_wpfnl_thankyou_billing_details":"on","_wpfnl_thankyou_shipping_details":"on","_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[20],"tags":[91,92,93],"class_list":["post-7366","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tendencias-mercado","tag-ciencia-de-datos","tag-futuro","tag-inteligencia-artificial"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/posts\/7366","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/comments?post=7366"}],"version-history":[{"count":2,"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/posts\/7366\/revisions"}],"predecessor-version":[{"id":7407,"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/posts\/7366\/revisions\/7407"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/media\/5994"}],"wp:attachment":[{"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/media?parent=7366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/categories?post=7366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/avaltec.com.co\/english\/wp-json\/wp\/v2\/tags?post=7366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}