{"version":"1.0","provider_name":"Radicalbit","provider_url":"https:\/\/radicalbit.ai\/it\/","title":"How MLOps accelerates AI Model Deployment","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"afLf67u0FZ\"><a href=\"https:\/\/radicalbit.ai\/it\/resources\/blog\/mlops-ai-model-deployment\/\">How MLOps accelerates AI Model Deployment<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/radicalbit.ai\/it\/resources\/blog\/mlops-ai-model-deployment\/embed\/#?secret=afLf67u0FZ\" width=\"600\" height=\"338\" title=\"&#8220;How MLOps accelerates AI Model Deployment&#8221; &#8212; Radicalbit\" data-secret=\"afLf67u0FZ\" 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:\/\/radicalbit.ai\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"http:\/\/radicalbit.ai\/wp-content\/uploads\/2024\/04\/Why-do-we-need-MLOps-2.jpg","thumbnail_width":1600,"thumbnail_height":900,"description":"MLOps is the bridge between machine learning and operations. A combination of methodology, tools and processes, it streamlines and automatizes the ML model lifecycle management, integrating ML workflows, pipeline and automation, continuous delivery and observability. This article explains how MLOps can be the conductor that makes all the difference."}