{"id":18545,"date":"2024-07-17T11:37:40","date_gmt":"2024-07-17T09:37:40","guid":{"rendered":"https:\/\/www.cosmino.de\/projects-and-experience\/integration-von-ki\/"},"modified":"2026-09-24T12:41:39","modified_gmt":"2026-09-24T10:41:39","slug":"integration-of-ai","status":"publish","type":"page","link":"https:\/\/www.cosmino.de\/en\/projects-and-experience\/integration-of-ai\/","title":{"rendered":"Integration of AI"},"content":{"rendered":"<div class=\"wpb-content-wrapper\">[vc_row][vc_column][vc_column_text css=&#8221;&#8221;]\n<h3><strong><span class=\"TextRun SCXW267332589 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW267332589 BCX8\">Artificial Intelligence in MES: Detect Deviations, Automate Responses, Simplify Operations<\/span><\/span><span class=\"EOP Selected SCXW267332589 BCX8\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/h3>\n<p><span class=\"TextRun SCXW242865084 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW242865084 BCX8\">Artificial intelligence is fundamentally changing the role of Manufacturing Execution Systems. It not only <\/span><span class=\"NormalTextRun SCXW242865084 BCX8\">identifies<\/span><span class=\"NormalTextRun SCXW242865084 BCX8\"> patterns and deviations in production <\/span><span class=\"NormalTextRun SCXW242865084 BCX8\">data but<\/span><span class=\"NormalTextRun SCXW242865084 BCX8\"> also supports users in their daily work with the system \u2013 f<\/span><span class=\"NormalTextRun SCXW242865084 BCX8\">rom data analysis to system operation and master data management.<\/span><\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]\n<h4><strong>Artificial Intelligence in MES means:<\/strong><\/h4>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\">More powerful analyses:<span data-contrast=\"auto\"> AI considers multiple influencing factors simultaneously and identifies patterns and correlations that are difficult to detect using conventional methods or by humans.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\">Faster response to problems:<span data-contrast=\"auto\"> Deviations can be detected as they begin to emerge. In combination with Cosmino Panteo, countermeasures can be initiated before minor deviations develop into quality issues, equipment downtime, or high scrap costs.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\">Significantly easier operation:<span data-contrast=\"auto\"> AI supports master data management, configuration, and the creation of reports and analyses, making MES functionality accessible to a broader range of users.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;19873&#8243; img_size=&#8221;large&#8221; css=&#8221;&#8221;][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<span class=\"TextRun SCXW110251670 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW110251670 BCX8\">In the following sections, we present different applications of artificial intelligence in Cosmino <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW110251670 BCX8\">Panteo<\/span><span class=\"NormalTextRun SCXW110251670 BCX8\"> \u2013 ranging from functions that are already available to topics we are currently working on.\u00a0<\/span><\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]\n<h4><strong>Anomaly Detection: Making Invisible Problems Visible<\/strong><\/h4>\n<p><span data-contrast=\"auto\">A key advantage of AI in data analysis is its ability to identify correlations and changes that are difficult or impossible to detect using conventional analyses or predefined rules. In our projects, we combine different types of process, machine, and production data from Cosmino Panteo and other data sources and make them available to AI for analysis.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><span data-contrast=\"auto\">The key difference compared with conventional limit monitoring is that you do not need to know in advance what you are looking for. AI learns typical patterns and correlations from production data and independently detects deviations from them.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The benefits become particularly apparent when individual values appear normal when considered separately, but their combination or development over time indicates unusual process behavior.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In this way, we can reveal anomalies that would remain undetected using conventional analyses or predefined limits. Such anomalies can provide early indications of quality issues, process instability, increasing wear or potential equipment failures.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>The specific benefits:<\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Quality issues can be detected significantly earlier\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Process instability becomes visible before it reaches a critical level\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Unplanned downtime can be reduced\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;19875&#8243; img_size=&#8221;large&#8221; css=&#8221;&#8221;][vc_column_text css=&#8221;&#8221;]<em>Fig.: A highly simplified example of anomaly detection across features and processes: An anomaly can also occur in a specific combination of various individual process data points or in their temporal evolution.<\/em>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]\n<h4><strong>Faster Response to Problems<\/strong><\/h4>\n<p><span data-contrast=\"auto\">Monitoring process parameters and intervention limits and initiating appropriate measures are already important tasks of an MES. When deviations occur, Cosmino Panteo can, for example, automatically trigger additional inspections, place parts on hold, notify employees, initiate process adjustments or stop machines.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">When artificial intelligence detects anomalies or unusual correlations in real-time data from Cosmino Panteo, feedback to the MES ensures that these insights can immediately trigger a response on the shop floor. Today, the rules for such responses are predefined \u2013 similar to conventional limit monitoring.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In the future, AI can also support the selection of appropriate measures. If the measures taken and their effectiveness are documented, this information can be used to provide increasingly targeted recommendations for suitable responses.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>The specific benefits:<\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Closed-loop response instead of delayed manual intervention\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Appropriate countermeasures can be initiated more quickly\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Documentation and traceability of anomalies and the measures taken\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span data-contrast=\"auto\">Our vision is a production environment in which impending downtime, quality deviations and other forms of waste in machines and related processes can be detected early and, in some cases, prevented automatically before they have any impact.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]\n<h4><strong>Intelligent Support for Users<\/strong><\/h4>\n<p><span data-contrast=\"auto\">Another important area is reducing the effort required to operate and configure complex systems. MES applications often require extensive knowledge of master data, configurations and reporting. Many of these tasks are time-consuming and tie up employees whose expertise could be put to better use elsewhere.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">We have already developed an AI assistant for Cosmino Panteo, which we are currently training and preparing for various use cases:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Required reports and analyses can be requested conveniently in natural language and provided automatically\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">The AI assistant will be able to answer further questions about KPIs, identify correlations and help investigate possible causes of changes\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">For administrative tasks, AI will be able to create new work centers, adjust configurations or parameterize machine interfaces\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">We are pursuing a similar approach for product knowledge and documentation, making information easier to access in multiple languages through an AI assistant without requiring users to search through manuals themselves.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>The specific benefits:<\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Easier access to data and analyses for users without in-depth MES expertise\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Simplified use and configuration of MES functions\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Time savings during solution rollout and ongoing operation\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;2\/3&#8243;][vc_single_image image=&#8221;19878&#8243; img_size=&#8221;large&#8221; css=&#8221;&#8221;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221;]\n<h4><b><span data-contrast=\"auto\">Cosmino Panteo: An Open AI Architecture<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">We have already created the technical foundation in Cosmino Panteo for integrating different AI solutions, including Large Language Models. Companies are not tied to specific AI models and can also use their own models.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Cloud-based AI is not required \u2013 AI can be operated entirely on the customer&#8217;s own infrastructure.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This allows companies to pursue their own AI strategy while using the capabilities of Cosmino Panteo to integrate artificial intelligence into their production processes.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;&#8221;]\n<h4><b><span data-contrast=\"auto\">AI Accelerates the Further Development of Cosmino Panteo<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h4>\n<p><span data-contrast=\"auto\">Artificial intelligence already supports our developers in the further development of MES functions and helps reduce development and testing effort.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">One of our next goals is an AI assistant that allows customers to describe their use cases in natural language. A Large Language Model interprets and structures the requirements. Based on Cosmino Panteo&#8217;s modular, widget-based architecture and rule-based workflow control, the AI assistant then creates an initial functional prototype. This makes it possible to assess at an early stage whether and how an implementation concept will work in practice.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Artificial intelligence is therefore more than just a new function in Cosmino Panteo for us: it is becoming an integral part of our products and processes \u2013 with the goal of continuously advancing the possibilities of production digitalization together with our customers.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row]\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<br \/>\nArtificial Intelligence in MES: Detect Deviations, Automate Responses, Simplify Operations\u00a0<\/p>\n<p>Artificial intelligence is fundamentally changing the role of Manufacturing Execution Systems. It not only identifies patterns and deviations in production data but also supports users in their daily work with the system \u2013 from data analysis to system operation and master data management.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]<br \/>\nArtificial Intelligence in MES means:<\/p>\n<p>More powerful analyses: AI considers multiple influencing factors simultaneously and identifies patterns and correlations that are difficult to detect using conventional methods [&#8230;]<\/p>\n","protected":false},"author":12,"featured_media":0,"parent":17413,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-18545","page","type-page","status-publish","hentry","groups-knowledge-hub","groups-wissen-erfahrung-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/pages\/18545"}],"collection":[{"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/comments?post=18545"}],"version-history":[{"count":13,"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/pages\/18545\/revisions"}],"predecessor-version":[{"id":19897,"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/pages\/18545\/revisions\/19897"}],"up":[{"embeddable":true,"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/pages\/17413"}],"wp:attachment":[{"href":"https:\/\/www.cosmino.de\/en\/wp-json\/wp\/v2\/media?parent=18545"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}