{"id":27929,"date":"2024-01-30T09:50:24","date_gmt":"2024-01-30T08:50:24","guid":{"rendered":"https:\/\/stage-fp.webenv.pl\/blog\/?p=27929"},"modified":"2024-06-21T15:43:53","modified_gmt":"2024-06-21T13:43:53","slug":"nlp-in-the-insurance-industry","status":"publish","type":"post","link":"https:\/\/www.future-processing.com\/blog\/nlp-in-the-insurance-industry\/","title":{"rendered":"NLP in the insurance industry: top 5 use cases and benefits"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">A brief overview of Natural Language Processing in the insurance industry<\/h2>\n\n\n\n<p>Just like in other sectors, for example, finance, NLP\u00a0entered insurance industry some time ago, and it is gaining more and more attention, <strong>revolutionising various aspects of the business.<\/strong><\/p>\n\n\n\n<p>Natural Language Processing is used in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>customer service and support,<\/li>\n\n\n\n<li>in claims processing,<\/li>\n\n\n\n<li>underwriting and risk assessment,<\/li>\n\n\n\n<li>fraud detection, policy recommendation,<\/li>\n\n\n\n<li>compliance and regulatory reporting,<\/li>\n\n\n\n<li>customer sentiment analysis,<\/li>\n\n\n\n<li>document summarisation,<\/li>\n\n\n\n<li>risk communication,<\/li>\n\n\n\n<li>emergency response.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"960\" height=\"749\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/The-benefits-of-NLP-for-business.jpg\" alt=\"The benefits of NLP for business\" class=\"wp-image-26512\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/The-benefits-of-NLP-for-business.jpg 960w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/The-benefits-of-NLP-for-business-300x234.jpg 300w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/The-benefits-of-NLP-for-business-768x599.jpg 768w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/The-benefits-of-NLP-for-business-513x400.jpg 513w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/><figcaption class=\"wp-element-caption\"><em>The benefits of NLP for business<\/em><\/figcaption><\/figure>\n\n\n\n<p>With so many different use cases, <strong>NLP is enabling the insurance industry to streamline their processes and enhance customer experience while reducing costs and allowing for better, data-driven decisions and more efficient work.<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><br>Top 5 game-changing use cases of NLP in the insurance industry<\/h2>\n\n\n\n<p>To truly understand the extent to which NLP is a game changer in the insurance world, let&#8217;s focus on the <strong>five important use cases,<\/strong> showing what exactly they mean and how beneficial they are in the industry.<\/p>\n\n\n    <div class=\"b-image js-lightbox\">\n        <figure class=\"b-image__figure\">\n            <a\n                href=\"Top-5-game-changing.jpg\"\n                class=\"js-lightbox__trigger\"\n                aria-haspopup=\"dialog\"\n                data-elementor-open-lightbox=\"no\"\n            >\n                <img decoding=\"async\" width=\"960\" height=\"999\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing.jpg\" class=\"attachment-full size-full\" alt=\"Top 5 game-changing use cases NLP in insurance\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing.jpg 960w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing-288x300.jpg 288w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing-768x799.jpg 768w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing-384x400.jpg 384w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing-24x24.jpg 24w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/>            <\/a>\n                            <figcaption class=\"b-image__caption f-paragraph\">Use cases of NLP in the insurance industry<\/figcaption>\n                    <\/figure>\n        <div\n    class=\"js-lightbox__dialog o-lightbox\"\n    role=\"dialog\"\n    aria-modal=\"true\"\n    aria-hidden=\"true\"\n    tabindex=\"-1\"\n>\n    <div class=\"o-lightbox__dialog\">\n        <div class=\"o-lightbox__content js-lightbox__content\" role=\"document\">\n            <button\n                class=\"o-button o-button--xs o-button--dark o-button--icon-right o-button--tertiary o-lightbox__close js-lightbox__close m-gradient-brand\"\n            >\n                Close picture                <svg class='o-icon o-icon--16 o-icon--timescircle '>\n            <use xlink:href='#icon-16_times-circle'><\/use>\n          <\/svg>            <\/button>\n                                            <figure class=\"o-lightbox__image is-active\">\n                    <img decoding=\"async\" width=\"960\" height=\"999\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing.jpg\" class=\"attachment-full size-full\" alt=\"Top 5 game-changing use cases NLP in insurance\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing.jpg 960w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing-288x300.jpg 288w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing-768x799.jpg 768w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing-384x400.jpg 384w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/Top-5-game-changing-24x24.jpg 24w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/>                                            <figcaption\n                            class=\"o-lightbox__caption f-paragraph\">Use cases of NLP in the insurance industry<\/figcaption>\n                                    <\/figure>\n                    <\/div>\n    <\/div>\n<\/div>\n    <\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><br>Streamlining claims processing with NLP-driven automation<\/h3>\n\n\n\n<p>Streamlining claims processing with <strong>NLP-driven automation<\/strong> leverages NLP to <strong>improve the efficiency and accuracy<\/strong> of handling insurance claims.<\/p>\n\n\n\n<p>Instead of dealing with claims manually, <strong>NLP algorithms are used to extract relevant information<\/strong> (such as policyholder data, claim descriptions, dates, and other critical details) from unstructured data sources: claim forms, emails, and documents.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" width=\"537\" height=\"1024\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/NLP-and-machine-learning-537x1024.jpg\" alt=\"NLP and Machine Learning: examples of applications\" class=\"wp-image-26509\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/NLP-and-machine-learning-537x1024.jpg 537w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/NLP-and-machine-learning-157x300.jpg 157w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/NLP-and-machine-learning-768x1466.jpg 768w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/NLP-and-machine-learning-805x1536.jpg 805w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/NLP-and-machine-learning-210x400.jpg 210w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2023\/09\/NLP-and-machine-learning.jpg 960w\" sizes=\"(max-width: 537px) 100vw, 537px\" \/><figcaption class=\"wp-element-caption\"><em>NLP and Machine Learning: examples of applications<\/em><\/figcaption><\/figure>\n\n\n\n<p>Once done, they <strong>automatically categorise and prioritise<\/strong> claims based on their severity and complexity, ensuring that urgent or complex claims receive prompt attention while routine claims are processed efficiently.<\/p>\n\n\n\n<p><strong>NLP also helps identify potential instances of fraud <\/strong>by analysing claim descriptions and comparing them with historical data and known fraud patterns. This method prevents fraudulent claims from progressing further in the process.<\/p>\n\n\n\n<p>What&#8217;s more, <strong>NLP assist claims adjusters by providing them with relevant information<\/strong> from historical claims and policy documents.<\/p>\n\n\n\n\n\n<p>Once a claim is approved,<strong> NLP can initiate the process of settlement and payment.<\/strong> It can calculate the amount to be paid based on policy terms, coverage, and claim details, ensuring accurate and timely disbursements. All finished, it can <strong>generate detailed and structured reports <\/strong>about claims processing.<\/p>\n\n\n\n<p>In summary, <strong>NLP-driven automation in claims processing reduces manual work, accelerates processing times <\/strong>and <strong>minimises human error,<\/strong> allowing for more efficient and better operations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><br>NLP for enhanced customer support and virtual assistance<\/h3>\n\n\n\n<p><strong>NLP keeps enhancing customer support literally everywhere, <\/strong>so it&#8217;s no wonder the insurance world is taking advantage of it as well.<\/p>\n\n\n\n<p>Insurance companies deploy <strong>NLP-driven chatbots and virtual assistants<\/strong> on their websites, mobile apps, and customer portals to respond to customer queries, provide policy information, and assist with various tasks, such as policy renewals and claims submissions.<br><\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><a href=\"https:\/\/www.future-processing.com\/case-studies\/cancer-central\/?utm_source=internal&amp;utm_medium=banner&amp;utm_campaign=baner34\"><img loading=\"lazy\" decoding=\"async\" width=\"780\" height=\"275\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/16.jpg\" alt=\"\" class=\"wp-image-27825\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/16.jpg 780w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/16-300x106.jpg 300w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2024\/01\/16-768x271.jpg 768w\" sizes=\"(max-width: 780px) 100vw, 780px\" \/><\/a><\/figure>\n\n\n\n<p><br>NLP-driven virtual assistants can <strong>guide policyholders through the claims process,<\/strong> helping them complete claim forms and providing updates on claim status. This <strong>improves the efficiency of claims<\/strong> <strong>processing <\/strong>and reduces the burden on employees.<\/p>\n\n\n\n<p>It can also be used by clients to inquire about policy details, coverage, premiums and other information. Thanks to the translation options, NLP can facilitate <strong>multilingual customer support,<\/strong> allowing customers to use chatbots no matter the language they use.<\/p>\n\n\n\n<p>Virtual assistants can also <strong>interpret and simplify complex policy documents,<\/strong> making them more understandable to customers, which enhances transparency and reduces confusion.<\/p>\n\n\n\n<p>Another great example of the use of NLP-driven virtual assistants is that <strong>they help in handling customer complaints, <\/strong>escalating them to humans when required and tracking the resolution progress.<\/p>\n\n\n\n<p><strong>All of those use cases facilitate better customer service and retention.<\/strong><\/p>\n\n\n<div class=\"b-hubspot-form o-contact-form__wrapper\">\n            <h3 class=\"o-contact-form__header f-headline-semi-large f-line\">We created a microservice to cater up to 30 000 events per minute for one of our clients. So what can we do for you?<\/h3>\n        <div class=\"o-contact-form o-contact-form__form-object o-contact-form__checkbox-list  o-contact-form__button--bottom-right o-contact-form__checkbox-list--horizontal\">\n        <div class=\"js-elementor-form-placeholder\">\n            <svg class='o-icon o-icon--48 o-icon--appwindow2 '>\n            <use xlink:href='#icon-48_app-window-2'><\/use>\n          <\/svg>        <\/div>\n        \n<script charset=\"utf-8\" type=\"text\/javascript\" src=\"\/\/js.hsforms.net\/forms\/embed\/v2.js\"><\/script>\n<script>\n    document.addEventListener('DOMContentLoaded', function () {\n        hbspt.forms.create({\n            region: \"na1\",\n            portalId: \"421670\",\n            formId: \"b8de5c27-aef4-4728-9d46-445cd553c655\",\n            onFormReady: function () {\n                const placeholder = document.querySelector('.js-elementor-form-placeholder');\n                if (placeholder) {\n                    placeholder.style.display = 'none';\n                }\n            }\n        });\n    });\n<\/script>\n    <\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><br>Risk assessment reinvented: NLP&#8217;s role in policy underwriting<\/h3>\n\n\n\n<p>When it comes to NLP&#8217;s role in policy underwriting, it can be used to <strong>extract and analyse information from a wide range of unstructured data sources,<\/strong> including news articles, social media, medical records, and customer correspondence.<\/p>\n\n\n\n<p>This <strong>data enrichment process<\/strong> provides insurers with a more comprehensive view of the potential policyholder, enabling more accurate risk assessment.<\/p>\n\n\n\n<p>Using <a href=\"https:\/\/www.future-processing.com\/blog\/nlp-techniques-key-methods-that-will-improve-your-analysis\/\">NLP techniques<\/a> we can <strong>create detailed risk profiles for applicants<\/strong> by assessing their historical data, behaviour, and public sentiment. This helps underwriters make informed decisions about policy and pricing.<\/p>\n\n\n\n<p>Automation of the collection of data from various sources <strong>reduces the administrative burden on the underwriter<\/strong> and ensures a more complete assessment of risk factors, further improving the way the insurance sector works.<\/p>\n\n\n\n<p>Want to know more about NLP? Take a look at the related articles:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.future-processing.com\/blog\/how-is-natural-language-processing-nlp-used-in-business\/\">How is Natural Language Processing (NLP) used in business?<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.future-processing.com\/blog\/how-nlp-is-transforming-finance-fintech-and-banking\/\">How is NLP transforming finance, FinTech, and banking?<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.future-processing.com\/blog\/how-do-nlp-and-idp-address-business-challenges\/\">How do NLP and IDP address business challenges?<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><br>Sentiment analysis for customer feedback<\/h3>\n\n\n\n<p>Sentiment analysis is a very new and hot subject, allowing companies to analyse and understand customer feedback to improve their operations.<\/p>\n\n\n\n<p><strong>NLP-driven tools allow for automatic data collection from various sources (feedback forms, surveys), processing and sentiment classification, and categorisation of feedback into various sentiment levels.<\/strong><\/p>\n\n\n\n<p>By analysing historical sentiment data, insurance companies can<strong> recognise trends and patterns<\/strong> in customer feedback, which can reveal recurrent issues or changing customer preferences.<\/p>\n\n\n\n<p><strong>Based on sentiment analysis results, insurance companies can make data-driven decisions<\/strong> to enhance customer service, streamline processes, or improve policy offerings.<\/p>\n\n\n\n<p>Sentiment analysis can also serve as <strong>an early warning system for customer satisfaction issues. <\/strong>When negative sentiments spike, insurers can take immediate actions to address the problems and <a href=\"https:\/\/www.future-processing.com\/blog\/methods-to-reduce-customer-churn-rate\/\">prevent customer churn<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><br>NLP for personalised policy recommendations<\/h3>\n\n\n\n<p>NLP is also employed to <strong>provide personalised policy recommendations, <\/strong>which enhance customer experience by tailoring insurance coverage to the specific needs of individuals.<\/p>\n\n\n\n<p>It serves in <a href=\"https:\/\/www.future-processing.com\/blog\/data-collection-data-gathering-methods-benefits-and-best-practices\/\">the collection of data<\/a> and its analysis, customer profiling, assessment of the level of risk associated with each customer and the recommendation of suitable insurance policies.<\/p>\n\n\n\n<p>NLP allows also for <strong>customisation by adjusting coverage levels, deductibles and other features<\/strong> to fit clients&#8217; budgets and preferences.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><br>How insurers win with NLP integration: the immediate benefits<\/h2>\n\n\n\n<p>There is no doubt insurers win with NLP integration and are taking advantage of this new advancement in technology. NLP tools <strong>improve organisations&#8217; efficiency, customer service and decision-making processes and reduce the company&#8217;s costs.<\/strong><\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\"><br>Predicting the next evolution of NLP in insurance<\/h2>\n\n\n\n<p>Although predicting the future is never easy, we can tell <strong>which of the uses of NLP in the insurance industry will be further developed<\/strong> in the months and years to come. <\/p>\n\n\n\n<p>The most important of them include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>advanced sentiment analysis, allowing not just to understand customers&#8217; sentiments but also to predict them,<\/li>\n\n\n\n<li>further development of virtual assistants and chatbots, which will be able to conduct more complex conversations with customers,<\/li>\n\n\n\n<li>behavioural analytics, which will allow insurers to gain insights into customer preferences and needs,<\/li>\n\n\n\n<li>real-time risk assessment by analysing social media, news and other data sources to adjust policy pricing and coverage dynamically, based on emerging risks.<\/li>\n<\/ul>\n\n\n\n<p>All of those advancements will help insurers<strong> stay competitive, improve customer satisfaction and effectively mitigate risk.<\/strong><\/p>\n\n\n\n<p>Keen to know more about NLP in the insurance industry? Thinking about investing in it to enhance your efficiency? <\/p>\n\n\n\n<p><strong><a href=\"https:\/\/www.future-processing.com\/contact\/\">Get in touch with our team<\/a> of experienced experts, ready to share their expertise and knowledge with you to help you achieve your goals!<\/strong><\/p>\n\n\n<div class=\"b-cta-banner m-gradient-light\">\n            <a\n            href=\"https:\/\/www.future-processing.com\/services\/ai-and-ml\/\"\n            class=\"b-cta-banner__image-container\"\n            data-elementclick=\"article-banner\"\n            data-elementname=\"AI &amp; ML Services\"\n        >\n            <img loading=\"lazy\" decoding=\"async\" width=\"450\" height=\"450\" src=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2022\/12\/Artificial_Intelligence_Machine_Learning_Services_Future_Processing.png\" class=\"attachment-full size-full\" alt=\"Artificial_Intelligence_Machine_Learning_Services_Future_Processing\" srcset=\"https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2022\/12\/Artificial_Intelligence_Machine_Learning_Services_Future_Processing.png 450w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2022\/12\/Artificial_Intelligence_Machine_Learning_Services_Future_Processing-300x300.png 300w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2022\/12\/Artificial_Intelligence_Machine_Learning_Services_Future_Processing-150x150.png 150w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2022\/12\/Artificial_Intelligence_Machine_Learning_Services_Future_Processing-400x400.png 400w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2022\/12\/Artificial_Intelligence_Machine_Learning_Services_Future_Processing-24x24.png 24w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2022\/12\/Artificial_Intelligence_Machine_Learning_Services_Future_Processing-48x48.png 48w, https:\/\/www.future-processing.com\/blog\/wp-content\/uploads\/2022\/12\/Artificial_Intelligence_Machine_Learning_Services_Future_Processing-96x96.png 96w\" sizes=\"(max-width: 450px) 100vw, 450px\" \/>        <\/a>\n    \n        <a\n        href=\"https:\/\/www.future-processing.com\/services\/ai-and-ml\/\"\n        class=\"b-cta-banner__url b-cta-banner__text-container\"\n        data-elementclick=\"article-banner\"\n        data-elementname=\"AI &amp; ML Services\"\n    >\n                    <div class=\"b-cta-banner__text\">\n                                                    <h3 class=\"f-headline-extra-big b-cta-banner__header\">\n                        AI &amp; ML Services                    <\/h3>\n                \n                                    <div class=\"f-paragraph\">\n                        <p>Explore the business opportunities given by AI &amp; ML development services and get recommendations on how these cutting-edge technologies can answer your business needs.<\/p>\n                    <\/div>\n                \n                                    <div class=\"o-button o-button--primary o-button--s o-button--icon-right o-button--arrow\">\n                        <span>Let\u2019s work together<\/span>\n                        <svg class='o-icon o-icon--16 o-icon--arrow '>\n            <use xlink:href='#icon-16_arrow'><\/use>\n          <\/svg>                    <\/div>\n                            <\/div>\n                <\/a>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p>The insurance industry deals with a huge quantity of data \u2013 think of all the files, claims, processes and clients&#8217; information that are processed on a daily basis just to get the job done. Traditional ways of dealing with that amount of data are simply not enough, hence the industry&#8217;s interest in AI in general and in NLP in particular. Let&#8217;s look at the details.<\/p>\n","protected":false},"author":232,"featured_media":27932,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[998],"tags":[],"coauthors":[2131,2132],"class_list":["post-27929","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-it-business-news"],"acf":{"reading-time":"6 min","show-toc-sublists":false,"image":null,"logo":null,"button1":{"button1_type":"","button":null},"button2":{"button2_type":"","button":null},"person":{"person_photo":null,"person_name":"","person_position":""}},"_links":{"self":[{"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/posts\/27929","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/users\/232"}],"replies":[{"embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/comments?post=27929"}],"version-history":[{"count":1,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/posts\/27929\/revisions"}],"predecessor-version":[{"id":34623,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/posts\/27929\/revisions\/34623"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/media\/27932"}],"wp:attachment":[{"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/media?parent=27929"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/categories?post=27929"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/tags?post=27929"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.future-processing.com\/blog\/wp-json\/wp\/v2\/coauthors?post=27929"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}