{"version":"1.0","provider_name":"AI Matters","provider_url":"https:\/\/cz.ai-matters.eu\/en\/","author_name":"FannyV","author_url":"https:\/\/cz.ai-matters.eu\/en\/author\/fannyv\/","title":"Data insight - AI Matters","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"3b9NyR5Qkx\"><a href=\"https:\/\/cz.ai-matters.eu\/en\/product\/data-insight-2\/\">Data insight<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/cz.ai-matters.eu\/en\/product\/data-insight-2\/embed\/#?secret=3b9NyR5Qkx\" width=\"600\" height=\"338\" title=\"&#8220;Data insight&#8221; &#8212; AI Matters\" data-secret=\"3b9NyR5Qkx\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/cz.ai-matters.eu\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/cz.ai-matters.eu\/wp-content\/uploads\/2026\/04\/Service20CZE20EX20-20Data-insight-38.jpg","thumbnail_width":1920,"thumbnail_height":1080,"description":"Collected, cleaned and processed industrial data suitable for further analysis Assessment of data quality, completeness and suitability for the agreed AI or analytical use case Identification of relevant patterns and relationships in production, quality, machine or maintenance data Quality, production or maintenance prediction model where supported by the available data and agreed scope Evaluation of prediction performance, limitations and relevant influencing factors Recommendations for further data collection, model development or implementation of AI-assisted decision support Technical report summarising the analysed data, applied methods, results and recommended next steps"}