{"version":"1.0","provider_name":"Enago Academy","provider_url":"https:\/\/www.enago.com\/academy","author_name":"Uttkarsha Bhosale","author_url":"https:\/\/www.enago.com\/academy\/author\/uttkarshabhosale\/","title":"Synthetic Data vs Real Data: Benefits, limitations, and challenges","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"0aLnt5q8lG\"><a href=\"https:\/\/www.enago.com\/academy\/synthetic-data-predictions-2030\/\">Are Synthetic Data a Real Concern? Substantive Predictions and Mindful Considerations Through 2030<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.enago.com\/academy\/synthetic-data-predictions-2030\/embed\/#?secret=0aLnt5q8lG\" width=\"600\" height=\"338\" title=\"&#8220;Are Synthetic Data a Real Concern? Substantive Predictions and Mindful Considerations Through 2030&#8221; &#8212; Enago Academy\" data-secret=\"0aLnt5q8lG\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2024\/01\/FeatureImages.png","thumbnail_width":910,"thumbnail_height":340,"description":"As AI systems gain remarkable capabilities in generating synthetic data, they open new frontiers of possibility but also raise pressing concerns. This article traces the evolution of AI in hypothesis and data generation, predicts major advances through 2030, and calls for responsible adoption."}