{"id":22562,"date":"2019-05-05T08:00:53","date_gmt":"2019-05-05T15:00:53","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=22562"},"modified":"2019-05-06T08:52:59","modified_gmt":"2019-05-06T15:52:59","slug":"an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/","title":{"rendered":"An Enterprise AI Platform Created to Make Industry 4.0 a Reality"},"content":{"rendered":"\n<p>A new complete, full stack solution was introduced to help manufacturing businesses transform their operations to reduce waste, material defects and the overall energy required to create their products. The platform accelerates  manufacturing and supply chain digital transformation projects and makes <em>Industry 4.0<\/em> a reality. Dell Ventures accelerated the production of this multi-tier, industrial-grade edge-to-cloud-to-edge solution by leading <a rel=\"noreferrer noopener\" aria-label=\"Noodle.ai (opens in a new tab)\" href=\"http:\/\/noodle.ai\/\" target=\"_blank\">Noodle.ai<\/a>\u2019s $35 million Series B round last year, joined by previous investor TPG Growth. <\/p>\n\n\n\n<p>Until  now, Industry 4.0 was no more than a buzzword for companies in the  manufacturing and supply chain industries. No other end-to-end solution  offered every necessary piece of technology that would allow companies to realize the promised economic and financial  benefits. By partnering with Dell\u2019s OEM group, Noodle.ai is able to  deliver the first edge-to-cloud-to-edge, full-stack Enterprise AI\u00ae platform for supply chain and manufacturing operations. <\/p>\n\n\n\n<p>Since  its inception, Noodle.ai has worked to bring Industry 4.0 to life and  help manufacturing and supply chain businesses transform their  operations to reduce waste, material defects, and the  overall energy required to create products, solve predictive challenges  and keep business moving forward. <\/p>\n\n\n\n<p>Noodle.ai\u2019s  suite of applications ensure that its customers are able to anticipate and plan for key variables affecting business operations, including  product quality, maintenance, downtime, costs, inventory and flow. This mitigates issues before they happen and  eliminates pockets of waste and inefficiencies that accumulate across  supply chain functions. Its applications can predict potentially costly product quality issues and equipment failures  and identify patterns in complex combinations and production variations  to increase flow and profits. <\/p>\n\n\n\n<p>In \nmanufacturing, a tremendous amount of raw data is collected every day \nbut isn\u2019t utilized effectively. Data was traditionally collected for \nhumans to analyze, through records of events and\n dashboards, but it is an unmanageable task for humans to sift through \nsuch a massive amount of data to uncover trends and quickly develop \naccurate predictions. To pinpoint issues and make informed predictions \nfaster, this new platform ensures that data is\n optimally collected and processed for artificial intelligence to work \nat the speed that Industry 4.0 requires.\n<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u201cWorking  alongside our partners at Dell allowed us to create a powerful platform  that can address the unique challenges that occur in the manufacturing  space, especially around monetary and environmental  waste,\u201d said Ted Gaubert, CTO, Noodle.ai. \u201cWe measure success  internally with reduced CO2 and radical efficiency as part of our  not-so-secret plan to save the planet, and we are proud to bring not  only those benefits to the manufacturing space, but also deliver  cost and time savings by empowering Industry 4.0.\u201d <\/p><p><\/p><\/blockquote>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/12\/Daniel_2018_pic.png\" alt=\"\" class=\"wp-image-21778\" width=\"113\" height=\"129\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/12\/Daniel_2018_pic.png 200w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/12\/Daniel_2018_pic-131x150.png 131w\" sizes=\"(max-width: 113px) 100vw, 113px\" \/><\/figure><\/div>\n\n\n\n<p><em>Contributed by Daniel D. Gutierrez, Managing Editor and Resident \nData Scientist for insideBIGDATA. In addition to being a tech \njournalist, Daniel also is a consultant in data scientist, author, \neducator and sits on a number of advisory boards for various start-up \ncompanies.&nbsp;<\/em><\/p>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a rel=\"noreferrer noopener\" href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new complete, full stack solution was introduced to help manufacturing businesses transform their operations to reduce waste, material defects and the overall energy required to create their products. The platform accelerates manufacturing and supply chain digital transformation projects and makes Industry 4.0 a reality. Dell Ventures accelerated the production of this multi-tier, industrial-grade edge-to-cloud-to-edge solution by leading Noodle.ai\u2019s $35 million Series B round last year, joined by previous investor TPG Growth. <\/p>\n","protected":false},"author":37,"featured_media":22304,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,87,180,75,56,1],"tags":[437,324,447,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>An Enterprise AI Platform Created to Make Industry 4.0 a Reality - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"An Enterprise AI Platform Created to Make Industry 4.0 a Reality - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"A new complete, full stack solution was introduced to help manufacturing businesses transform their operations to reduce waste, material defects and the overall energy required to create their products. The platform accelerates manufacturing and supply chain digital transformation projects and makes Industry 4.0 a reality. Dell Ventures accelerated the production of this multi-tier, industrial-grade edge-to-cloud-to-edge solution by leading Noodle.ai\u2019s $35 million Series B round last year, joined by previous investor TPG Growth.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2019-05-05T15:00:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-05-06T15:52:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/Artificial_intelligence_safe_5.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"225\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/\",\"url\":\"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/\",\"name\":\"An Enterprise AI Platform Created to Make Industry 4.0 a Reality - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2019-05-05T15:00:53+00:00\",\"dateModified\":\"2019-05-06T15:52:59+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"An Enterprise AI Platform Created to Make Industry 4.0 a Reality\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\",\"name\":\"Daniel Gutierrez\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"caption\":\"Daniel Gutierrez\"},\"description\":\"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.\",\"sameAs\":[\"http:\/\/www.insidebigdata.com\",\"https:\/\/twitter.com\/@AMULETAnalytics\"],\"url\":\"https:\/\/insidebigdata.com\/author\/dangutierrez\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"An Enterprise AI Platform Created to Make Industry 4.0 a Reality - insideBIGDATA","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:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/","og_locale":"en_US","og_type":"article","og_title":"An Enterprise AI Platform Created to Make Industry 4.0 a Reality - insideBIGDATA","og_description":"A new complete, full stack solution was introduced to help manufacturing businesses transform their operations to reduce waste, material defects and the overall energy required to create their products. The platform accelerates manufacturing and supply chain digital transformation projects and makes Industry 4.0 a reality. Dell Ventures accelerated the production of this multi-tier, industrial-grade edge-to-cloud-to-edge solution by leading Noodle.ai\u2019s $35 million Series B round last year, joined by previous investor TPG Growth.","og_url":"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2019-05-05T15:00:53+00:00","article_modified_time":"2019-05-06T15:52:59+00:00","og_image":[{"width":300,"height":225,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/Artificial_intelligence_safe_5.jpg","type":"image\/jpeg"}],"author":"Daniel Gutierrez","twitter_card":"summary_large_image","twitter_creator":"@AMULETAnalytics","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Daniel Gutierrez","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/","url":"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/","name":"An Enterprise AI Platform Created to Make Industry 4.0 a Reality - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2019-05-05T15:00:53+00:00","dateModified":"2019-05-06T15:52:59+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2019\/05\/05\/an-enterprise-ai-platform-created-to-make-industry-4-0-a-reality\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"An Enterprise AI Platform Created to Make Industry 4.0 a Reality"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed","name":"Daniel Gutierrez","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g","caption":"Daniel Gutierrez"},"description":"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.","sameAs":["http:\/\/www.insidebigdata.com","https:\/\/twitter.com\/@AMULETAnalytics"],"url":"https:\/\/insidebigdata.com\/author\/dangutierrez\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/Artificial_intelligence_safe_5.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-5RU","jetpack-related-posts":[{"id":28386,"url":"https:\/\/insidebigdata.com\/2022\/02\/03\/insidebigdata-guide-to-computer-aided-engineering-part-3\/","url_meta":{"origin":22562,"position":0},"title":"insideBIGDATA Guide to Computer Aided Engineering \u2013 Part 3","date":"February 3, 2022","format":false,"excerpt":"[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/01\/IBD-Dell-Cad-Guide-Cover-image.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":33092,"url":"https:\/\/insidebigdata.com\/2023\/08\/10\/improving-product-quality-with-ai-based-video-analytics-hpe-nvidia-and-relimetrics-automate-quality-control-in-european-manufacturing-facility\/","url_meta":{"origin":22562,"position":1},"title":"Improving Product Quality with AI-based Video Analytics: HPE, NVIDIA and Relimetrics Automate Quality Control in European Manufacturing Facility","date":"August 10, 2023","format":false,"excerpt":"Manufacturers are using the power of AI and video analytics to enable better quality control and traceability of quality issues, bringing them one step closer to achieving zero defects and reducing the downstream impacts of poor product quality. Together, HPE, NVIDIA and Relimetrics enable customers to adapt to high production\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/Data_center_shutterstock_1062915266_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":25889,"url":"https:\/\/insidebigdata.com\/2021\/04\/05\/at-john-deere-hard-iron-meets-artificial-intelligence\/","url_meta":{"origin":22562,"position":2},"title":"At John Deere, \u2018Hard Iron Meets Artificial Intelligence\u2019","date":"April 5, 2021","format":false,"excerpt":"Intel and John Deere developed an integrated, end-to-end system of hardware and software that can generate insights in real-time, at levels beyond human capability. When using a neural network-based inference engine, the solution logs defects in real-time and automatically stops the welding process.","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2016\/08\/Intel_updated-logo.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":22658,"url":"https:\/\/insidebigdata.com\/2019\/05\/19\/levadata-introduces-cognitive-sourcing-for-new-product-introduction-teams\/","url_meta":{"origin":22562,"position":3},"title":"LevaData Introduces Cognitive Sourcing for New Product Introduction Teams","date":"May 19, 2019","format":false,"excerpt":"LevaData, the company that delivers applied AI to transform strategic sourcing and procurement, announced the launch of LevaData NPI (New Product Introduction), a solution extension of the LevaData Cognitive Sourcing Platform. Designed and built for enterprise manufacturing companies, LevaData NPI offers industry-first supply chain insights and actionable guidance to product\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":28313,"url":"https:\/\/insidebigdata.com\/2022\/01\/27\/insidebigdata-guide-to-computer-aided-engineering-part-2\/","url_meta":{"origin":22562,"position":4},"title":"insideBIGDATA Guide to Computer Aided Engineering &#8211; Part 2","date":"January 27, 2022","format":false,"excerpt":"[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/01\/IBD-Dell-Cad-Guide-Cover-image.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":13042,"url":"https:\/\/insidebigdata.com\/2015\/04\/28\/big-data-for-manufacturing-case-study-omneo\/","url_meta":{"origin":22562,"position":5},"title":"Big Data for Manufacturing Case Study: Omneo","date":"April 28, 2015","format":false,"excerpt":"This article is the fifth and last in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today\u2019s climate\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"Flow_Analysis","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2015\/04\/Flow_Analysis.jpg?resize=350%2C200","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/22562"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=22562"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/22562\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/22304"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=22562"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=22562"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=22562"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}