{"id":16581,"date":"2023-08-08T17:57:14","date_gmt":"2023-08-08T21:57:14","guid":{"rendered":"https:\/\/www.iri.com\/blog\/?p=16581"},"modified":"2023-08-08T17:57:14","modified_gmt":"2023-08-08T21:57:14","slug":"prepare-and-protect-data-for-ai-with-voracity","status":"publish","type":"post","link":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/","title":{"rendered":"Prepare and Protect Data for AI with Voracity"},"content":{"rendered":"

As I\u2019m finding myself noting more and more frequently this year, AI, and especially generative AI or \u201cGAI\u201d, is the new darling of the tech world, to the point that it has even captured the attention and interest of the general public (albeit not always positively). As such, a huge number of organizations, both within and without the software world, are making plans to leverage GAI in the near future.<\/p>\n

In principle, this is all well and good \u2013 no doubt a certain amount of the GAI buzz will prove to be empty hype, but such is the way of popular new technologies. I am more concerned that in the rush to jump on the GAI bandwagon, companies will forget to ensure the accuracy and efficacy of the AI systems they\u2019re actually building.<\/p>\n

It is all too easy to forget that AI models are trained on data, and that if that data is lacking in some way \u2013 if much of it is incorrect, if there\u2019s missing or duplicated data, if there\u2019s unsecured sensitive data, or if there\u2019s undetected and unaccounted for bias in the data, to name only a handful of possibilities \u2013 whatever results your AI system spits out will be similarly flawed. It is very much garbage in, garbage out paradigm. For a good example of this, a few years back Amazon created a recruiting AI to parse applications, but it turned out the data it was trained on favored men, so the AI tended<\/a>\u00a0to make sexist hiring decisions. There\u2019s no reason to think that modern GAI would not fall victim to the same phenomenon, and indeed early research seems to indicate that the most popular publicly available engines are doing exactly that (see\u00a0this article<\/a> on Bloomberg, for example, although I apologize in advance for the painfully over-elaborate visuals it uses).<\/p>\n

The converse is also true. To consistently make accurate predictions, or to generate something meaningful in the case of GAI, your AI needs to be trained on highly curated and high-quality data. Your training data needs to be as complete and as accurate as possible, because these traits will carry over to your AI. Moreover, sensitive data will need to be detected and protected (for instance via data masking), so that it is not used or exposed unlawfully. You would also be well served to detect and eliminate any bias in the data. To these ends, it is useful to have access to various data preparation faculties, such as data cleansing, data enrichment, sensitive data discovery, data masking, high-volume data integration, and so on.<\/p>\n

This is where IRI and its Voracity platform come in.<\/a>\u00a0Voracity component tooling \u2013 much of which we have discussed in some detail in other articles \u2013 facilitates the creation of high-quality, deidentified data sets which in turn enable you to build and train accurate, effective, and compliant AI (and GAI) models. It also provides some specific capabilities to support the creation of more robust AI pipelines. For instance,\u00a0the Voracity Provider for KNIME<\/a> prepares and feeds big data sets into Konstanz Information Miner (aka KNIME) workflows. KNIME is an open-source data science environment with various facilities to support AI and machine learning, and its models thus benefit from properly prepared (or prototyped) data sets. One example of this was the use of Voracity-wrangled and anonymized tumor measurement data in a KNIME machine-learning model for breast cancer prediction, as documented here<\/a>.<\/p>\n

At the end of the day, data is an incredibly important factor in building AI. I implore you not to forget that amidst all the GAI hype, and instead to invest in a way to create data sets worth training an AI system on. The IRI Voracity platform, offering as it does a depth of data discovery, integration, migration, governance, and analytics capabilities is an attractive option for this.<\/p>\n","protected":false},"excerpt":{"rendered":"

As I\u2019m finding myself noting more and more frequently this year, AI, and especially generative AI or \u201cGAI\u201d, is the new darling of the tech world, to the point that it has even captured the attention and interest of the general public (albeit not always positively). As such, a huge number of organizations, both within<\/p>\n

Read More<\/a><\/div>\n","protected":false},"author":188,"featured_media":16577,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[32,217,34],"tags":[1714,1426,359,13],"class_list":["post-16581","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-intelligence","category-iri","category-business","tag-ai","tag-artificial-intelligence","tag-data-preparation","tag-data-protection-2"],"acf":[],"yoast_head":"\nPrepare and Protect Data for AI with Voracity - IRI<\/title>\n<meta name=\"description\" content=\"As I\u2019m finding myself noting more and more frequently this year, AI, and especially generative AI or \u201cGAI\u201d, is the new darling of the tech world, to the point that it has even captured the attention and interest of the general public (albeit not always positively). As such, a huge number of organizations, both within and without the software world, are making plans to leverage GAI in the near future.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Prepare and Protect Data for AI with Voracity - IRI\" \/>\n<meta property=\"og:description\" content=\"As I\u2019m finding myself noting more and more frequently this year, AI, and especially generative AI or \u201cGAI\u201d, is the new darling of the tech world, to the point that it has even captured the attention and interest of the general public (albeit not always positively). As such, a huge number of organizations, both within and without the software world, are making plans to leverage GAI in the near future.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/\" \/>\n<meta property=\"og:site_name\" content=\"IRI\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-08T21:57:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"977\" \/>\n\t<meta property=\"og:image:height\" content=\"250\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel Howard, Bloor Research\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Howard, Bloor Research\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/\"},\"author\":{\"name\":\"Daniel Howard, Bloor Research\",\"@id\":\"https:\/\/beta.iri.com\/blog\/#\/schema\/person\/9099cd77d0c3653574d152e6897fa38f\"},\"headline\":\"Prepare and Protect Data for AI with Voracity\",\"datePublished\":\"2023-08-08T21:57:14+00:00\",\"dateModified\":\"2023-08-08T21:57:14+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/\"},\"wordCount\":649,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg\",\"keywords\":[\"AI\",\"artificial intelligence\",\"data preparation\",\"data protection\"],\"articleSection\":[\"Business Intelligence (BI)\",\"IRI\",\"IRI Business\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/\",\"url\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/\",\"name\":\"Prepare and Protect Data for AI with Voracity - IRI\",\"isPartOf\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg\",\"datePublished\":\"2023-08-08T21:57:14+00:00\",\"dateModified\":\"2023-08-08T21:57:14+00:00\",\"description\":\"As I\u2019m finding myself noting more and more frequently this year, AI, and especially generative AI or \u201cGAI\u201d, is the new darling of the tech world, to the point that it has even captured the attention and interest of the general public (albeit not always positively). As such, a huge number of organizations, both within and without the software world, are making plans to leverage GAI in the near future.\",\"breadcrumb\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#primaryimage\",\"url\":\"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg\",\"contentUrl\":\"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg\",\"width\":977,\"height\":250},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/beta.iri.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Prepare and Protect Data for AI with Voracity\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/beta.iri.com\/blog\/#website\",\"url\":\"https:\/\/beta.iri.com\/blog\/\",\"name\":\"IRI\",\"description\":\"Total Data Management Blog\",\"publisher\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/beta.iri.com\/blog\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/beta.iri.com\/blog\/#organization\",\"name\":\"IRI\",\"url\":\"https:\/\/beta.iri.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/beta.iri.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2019\/02\/iri-logo-total-data-management-small-1.png\",\"contentUrl\":\"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2019\/02\/iri-logo-total-data-management-small-1.png\",\"width\":750,\"height\":206,\"caption\":\"IRI\"},\"image\":{\"@id\":\"https:\/\/beta.iri.com\/blog\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/beta.iri.com\/blog\/#\/schema\/person\/9099cd77d0c3653574d152e6897fa38f\",\"name\":\"Daniel Howard, Bloor Research\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/beta.iri.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/9386a20e3db8c225dffad46b5ba7c313?s=96&d=blank&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/9386a20e3db8c225dffad46b5ba7c313?s=96&d=blank&r=g\",\"caption\":\"Daniel Howard, Bloor Research\"},\"url\":\"https:\/\/beta.iri.com\/blog\/author\/dhoward\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Prepare and Protect Data for AI with Voracity - IRI","description":"As I\u2019m finding myself noting more and more frequently this year, AI, and especially generative AI or \u201cGAI\u201d, is the new darling of the tech world, to the point that it has even captured the attention and interest of the general public (albeit not always positively). As such, a huge number of organizations, both within and without the software world, are making plans to leverage GAI in the near future.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/","og_locale":"en_US","og_type":"article","og_title":"Prepare and Protect Data for AI with Voracity - IRI","og_description":"As I\u2019m finding myself noting more and more frequently this year, AI, and especially generative AI or \u201cGAI\u201d, is the new darling of the tech world, to the point that it has even captured the attention and interest of the general public (albeit not always positively). As such, a huge number of organizations, both within and without the software world, are making plans to leverage GAI in the near future.","og_url":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/","og_site_name":"IRI","article_published_time":"2023-08-08T21:57:14+00:00","og_image":[{"width":977,"height":250,"url":"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg","type":"image\/jpeg"}],"author":"Daniel Howard, Bloor Research","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Daniel Howard, Bloor Research","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#article","isPartOf":{"@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/"},"author":{"name":"Daniel Howard, Bloor Research","@id":"https:\/\/beta.iri.com\/blog\/#\/schema\/person\/9099cd77d0c3653574d152e6897fa38f"},"headline":"Prepare and Protect Data for AI with Voracity","datePublished":"2023-08-08T21:57:14+00:00","dateModified":"2023-08-08T21:57:14+00:00","mainEntityOfPage":{"@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/"},"wordCount":649,"commentCount":0,"publisher":{"@id":"https:\/\/beta.iri.com\/blog\/#organization"},"image":{"@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#primaryimage"},"thumbnailUrl":"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg","keywords":["AI","artificial intelligence","data preparation","data protection"],"articleSection":["Business Intelligence (BI)","IRI","IRI Business"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/","url":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/","name":"Prepare and Protect Data for AI with Voracity - IRI","isPartOf":{"@id":"https:\/\/beta.iri.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#primaryimage"},"image":{"@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#primaryimage"},"thumbnailUrl":"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg","datePublished":"2023-08-08T21:57:14+00:00","dateModified":"2023-08-08T21:57:14+00:00","description":"As I\u2019m finding myself noting more and more frequently this year, AI, and especially generative AI or \u201cGAI\u201d, is the new darling of the tech world, to the point that it has even captured the attention and interest of the general public (albeit not always positively). As such, a huge number of organizations, both within and without the software world, are making plans to leverage GAI in the near future.","breadcrumb":{"@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#primaryimage","url":"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg","contentUrl":"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg","width":977,"height":250},{"@type":"BreadcrumbList","@id":"https:\/\/beta.iri.com\/blog\/business-intelligence\/prepare-and-protect-data-for-ai-with-voracity\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/beta.iri.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Prepare and Protect Data for AI with Voracity"}]},{"@type":"WebSite","@id":"https:\/\/beta.iri.com\/blog\/#website","url":"https:\/\/beta.iri.com\/blog\/","name":"IRI","description":"Total Data Management Blog","publisher":{"@id":"https:\/\/beta.iri.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/beta.iri.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/beta.iri.com\/blog\/#organization","name":"IRI","url":"https:\/\/beta.iri.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/beta.iri.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2019\/02\/iri-logo-total-data-management-small-1.png","contentUrl":"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2019\/02\/iri-logo-total-data-management-small-1.png","width":750,"height":206,"caption":"IRI"},"image":{"@id":"https:\/\/beta.iri.com\/blog\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/beta.iri.com\/blog\/#\/schema\/person\/9099cd77d0c3653574d152e6897fa38f","name":"Daniel Howard, Bloor Research","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/beta.iri.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/9386a20e3db8c225dffad46b5ba7c313?s=96&d=blank&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/9386a20e3db8c225dffad46b5ba7c313?s=96&d=blank&r=g","caption":"Daniel Howard, Bloor Research"},"url":"https:\/\/beta.iri.com\/blog\/author\/dhoward\/"}]}},"jetpack_featured_media_url":"https:\/\/beta.iri.com\/blog\/wp-content\/uploads\/2023\/08\/The-Why-and-How-of-Data-Preparation-and-Protection-for-AI-using-IRI-banner.jpg","_links":{"self":[{"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/posts\/16581"}],"collection":[{"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/users\/188"}],"replies":[{"embeddable":true,"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/comments?post=16581"}],"version-history":[{"count":6,"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/posts\/16581\/revisions"}],"predecessor-version":[{"id":17355,"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/posts\/16581\/revisions\/17355"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/media\/16577"}],"wp:attachment":[{"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/media?parent=16581"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/categories?post=16581"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/beta.iri.com\/blog\/wp-json\/wp\/v2\/tags?post=16581"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}