{"version":"1.0","provider_name":"LIS Data Solutions","provider_url":"https:\/\/www.lisdatasolutions.com\/es\/","author_name":"Natalia Andueza","author_url":"https:\/\/www.lisdatasolutions.com\/es\/author\/natalia-andueza\/","title":"Mantenimiento predictivo con Amazon Lookout for Equipment | LIS Data Solutions","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"PHdBKusgEV\"><a href=\"https:\/\/www.lisdatasolutions.com\/es\/blog\/mantenimiento-predictivo-con-amazon-lookout-for-equipment\/\">Mantenimiento predictivo con Amazon Lookout for Equipment<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.lisdatasolutions.com\/es\/blog\/mantenimiento-predictivo-con-amazon-lookout-for-equipment\/embed\/#?secret=PHdBKusgEV\" width=\"600\" height=\"338\" title=\"\u00abMantenimiento predictivo con Amazon Lookout for Equipment\u00bb \u2014 LIS Data Solutions\" data-secret=\"PHdBKusgEV\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/*! This file is auto-generated *\/\n!function(c,l){\"use strict\";var e=!1,o=!1;if(l.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},c.wp.receiveEmbedMessage);else if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(!t);else if(!(t.secret||t.message||t.value));else if(\/[^a-zA-Z0-9]\/.test(t.secret));else{for(var r,s,a,i=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=0;o<n.length;o++)n[o].style.display=\"none\";for(o=0;o<i.length;o++)if(r=i[o],e.source!==r.contentWindow);else{if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(s=parseInt(t.value,10)))s=1e3;else if(~~s<200)s=200;r.height=s}if(\"link\"===t.message)if(s=l.createElement(\"a\"),a=l.createElement(\"a\"),s.href=r.getAttribute(\"src\"),a.href=t.value,a.host===s.host)if(l.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener(\"message\",c.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",t,!1),c.addEventListener(\"load\",t,!1);function t(){if(o);else{o=!0;for(var e,t,r,s=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),a=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),i=l.querySelectorAll(\"iframe.wp-embedded-content\"),n=0;n<i.length;n++){if(!(r=(t=i[n]).getAttribute(\"data-secret\")))r=Math.random().toString(36).substr(2,10),t.src+=\"#?secret=\"+r,t.setAttribute(\"data-secret\",r);if(s||a)(e=t.cloneNode(!0)).removeAttribute(\"security\"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:\"ready\",secret:r},\"*\")}}}}(window,document);\n<\/script>\n","thumbnail_url":"https:\/\/www.lisdatasolutions.com\/wp-content\/uploads\/2022\/07\/fabrica-1.jpg","thumbnail_width":1024,"thumbnail_height":683,"description":"El ahorro de costes para maximizar beneficios ha sido siempre uno de los principales objetivos empresariales, porque se gana mucho no perdiendo. En la era del dato contamos con herramientas que llevan a estos procesos a la m\u00e1xima efectividad, como en el caso del mantenimiento predictivo, que nos permite optimizar los procesos de cuidado de [&hellip;]"}