{"id":26920,"date":"2021-02-24T12:21:22","date_gmt":"2021-02-24T12:21:22","guid":{"rendered":"https:\/\/www.inogic.com\/blog\/?p=26920"},"modified":"2021-02-24T12:21:22","modified_gmt":"2021-02-24T12:21:22","slug":"using-entity-extraction-ai-model-within-dynamics-365-crm-power-apps-part-1","status":"publish","type":"post","link":"https:\/\/www.inogic.com\/blog\/2021\/02\/using-entity-extraction-ai-model-within-dynamics-365-crm-power-apps-part-1\/","title":{"rendered":"Using Entity Extraction AI Model within Dynamics 365 CRM \/ Power Apps &#8211; Part 1"},"content":{"rendered":"<p><strong>Introduction:<\/strong><\/p>\n<p>What comes in your mind first when you think of the Entity Extraction AI model?<\/p>\n<p>You might relate this with entities of Model Driven apps. However, this is not something related to it.<\/p>\n<p style=\"text-align: justify;\">Entity here does not demonstrate the entities we see in Model Driven Apps in Dynamics CRM but they are nouns like color, number, city, language, etc. So here, we are talking about the AI model, which extracts the entities like color, person, city, country, etc. from unstructured text, which we can use as per our business needs.<\/p>\n<p style=\"text-align: justify;\">For Example, below is the message received from a customer, \u201cHi, I am Sam from Canada. I have few questions on the application form. Could you please connect me with a French-speaking person from your team?\u201d<\/p>\n<p>Output of above text:<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"301\"><strong>Entity<\/strong><\/td>\n<td width=\"301\"><strong>Entity Type<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"301\">Sam<\/td>\n<td width=\"301\">Person<\/td>\n<\/tr>\n<tr>\n<td width=\"301\">Canada<\/td>\n<td width=\"301\">Country<\/td>\n<\/tr>\n<tr>\n<td width=\"301\">French<\/td>\n<td width=\"301\">Language<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: justify;\">With help of the Entity Extraction AI model, we could identify the key elements from the unstructured text and could classify them into predefined categories. Microsoft has added the Entity Extraction AI Model into its Dynamics 365 AI Builder capabilities.<\/p>\n<p style=\"text-align: justify;\">There are two separate things that we should understand when we talk about the Entity Extraction AI Model.<\/p>\n<p>We can leverage the potential of Entity Extraction AI Model in AI Builder using the below two ways,<\/p>\n<ul>\n<li><a href=\"https:\/\/docs.microsoft.com\/en-us\/ai-builder\/prebuilt-entity-extraction\" target=\"_blank\" rel=\"noopener noreferrer\">Prebuilt Entity Extraction AI Model<\/a><\/li>\n<li><a href=\"https:\/\/docs.microsoft.com\/en-us\/ai-builder\/entity-extraction-overview\" target=\"_blank\" rel=\"noopener noreferrer\">Custom Entity Extraction AI Model<\/a> (Preview)<\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><strong>In this blog, we will see how we can use Prebuilt Entity Extraction AI model with the help of a use case and in the next blog of this series; we will see the Custom Entity Extraction AI Model, which is in preview. <\/strong><\/p>\n<p style=\"text-align: justify;\">Prebuilt AI Models in AI Builder are models that let you add intelligence to applications and flows without gathering data and then building, training, and publishing your own models.<\/p>\n<p style=\"text-align: justify;\">The prebuilt model is ready to use out of the box and comes with some <a href=\"https:\/\/docs.microsoft.com\/en-us\/ai-builder\/prebuilt-entity-extraction#supported-entity-types\" target=\"_blank\" rel=\"noopener noreferrer\">predefined entity types<\/a>.<\/p>\n<p><strong>Scenario:<\/strong><\/p>\n<p style=\"text-align: justify;\">Consider you run a retail store with a customer service department with several outlets nationwide; you go through a number of mentions in the reviews from your clients. Say, you got the below message from the customer on your social media platform,<\/p>\n<p style=\"text-align: justify;\"><em>\u201cHey could you help me out? I bought expensive blood glucose test strips in hurry but they were the wrong ones. So I went back to exchange to the Boston store but they wouldn\u2019t let me return an unopened box.\u201d<\/em><\/p>\n<p style=\"text-align: justify;\">It would be good if we were able to apply intelligence and assign this case to the appropriate team based on the city.<\/p>\n<p>We can use Prebuilt Entity Extraction AI model to achieve this.<\/p>\n<p>Below are the steps to use the standard Entity Extraction Model in Power Automate Flow.<\/p>\n<p style=\"text-align: justify;\">Here, we will use Twitter as a social media platform to analyze the customer messages and assign it to the appropriate team.<\/p>\n<p><strong>Step 1:<\/strong><\/p>\n<p style=\"text-align: justify;\">Sign in to\u00a0<a href=\"https:\/\/flow.microsoft.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Power Automate<\/a>, navigate to Templates and search for <strong>Twitter <\/strong>and select the template shown in the below image. We will create our Power Automate flow from the existing template. You can also create Power Automate Flow inside the solution.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-26922 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/1-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"1316\" height=\"408\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/1-Entity-Extraction-AI-model.jpeg 1316w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/1-Entity-Extraction-AI-model-300x93.jpeg 300w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/1-Entity-Extraction-AI-model-768x238.jpeg 768w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/1-Entity-Extraction-AI-model-1024x317.jpeg 1024w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/1-Entity-Extraction-AI-model-660x205.jpeg 660w\" sizes=\"(max-width: 1316px) 100vw, 1316px\" \/><\/p>\n<p><strong>Step 2:<\/strong><\/p>\n<p>Sign In to your accounts and click on Continue. These accounts will be required to run our template flow.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/2-Entity-Extraction-AI-model.jpeg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter wp-image-26923 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/2-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"578\" height=\"363\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/2-Entity-Extraction-AI-model.jpeg 578w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/2-Entity-Extraction-AI-model-300x188.jpeg 300w\" sizes=\"(max-width: 578px) 100vw, 578px\" \/><\/a><\/p>\n<p><strong>Step 3:<\/strong><\/p>\n<p style=\"text-align: justify;\">Input a text in the <strong>Search text <\/strong>input box for the tweets you want to pass in our flow. We will give the organization\u2019s hashtag to get the tweets related to it.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/3-Entity-Extraction-AI-model.jpeg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter wp-image-26924 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/3-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"581\" height=\"126\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/3-Entity-Extraction-AI-model.jpeg 581w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/3-Entity-Extraction-AI-model-300x65.jpeg 300w\" sizes=\"(max-width: 581px) 100vw, 581px\" \/><\/a><\/p>\n<p><strong>Step 4:<\/strong><\/p>\n<p style=\"text-align: justify;\">Delete all the predefined steps in the flow, which were created by the template. Add our new step and select AI Builder action.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/4-Entity-Extraction-AI-model.jpeg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter wp-image-26925 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/4-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"643\" height=\"446\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/4-Entity-Extraction-AI-model.jpeg 643w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/4-Entity-Extraction-AI-model-300x208.jpeg 300w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/4-Entity-Extraction-AI-model-200x140.jpeg 200w\" sizes=\"(max-width: 643px) 100vw, 643px\" \/><\/a><\/p>\n<p><strong>Step 5:<\/strong><\/p>\n<p>Choose the <strong>\u201cExtract entities from text with the standard model\u201d<\/strong> from the list of options in AI Builder.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/5-Entity-Extraction-AI-model.jpeg\"><img decoding=\"async\" class=\"aligncenter wp-image-26926 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/5-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"666\" height=\"445\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/5-Entity-Extraction-AI-model.jpeg 666w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/5-Entity-Extraction-AI-model-300x200.jpeg 300w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/5-Entity-Extraction-AI-model-660x441.jpeg 660w\" sizes=\"(max-width: 666px) 100vw, 666px\" \/><\/a><\/p>\n<p><strong>Step 6:<\/strong><\/p>\n<p>Select the language of input that you will use to add the data for extraction.<\/p>\n<p><strong> <a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/6-Entity-Extraction-AI-model.jpeg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter wp-image-26927 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/6-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"657\" height=\"419\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/6-Entity-Extraction-AI-model.jpeg 657w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/6-Entity-Extraction-AI-model-300x191.jpeg 300w\" sizes=\"(max-width: 657px) 100vw, 657px\" \/><\/a><\/strong><\/p>\n<p style=\"text-align: justify;\">After selecting the language, add <strong>Tweet text <\/strong>from dynamic values, this will be our input data.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/6-a-Entity-Extraction-AI-model.jpeg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter wp-image-26928 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/6-a-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"650\" height=\"178\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/6-a-Entity-Extraction-AI-model.jpeg 650w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/6-a-Entity-Extraction-AI-model-300x82.jpeg 300w\" sizes=\"(max-width: 650px) 100vw, 650px\" \/><\/a><\/p>\n<p><strong>Step 7: <\/strong><\/p>\n<p>We are classifying the tweets based on city but there can be other entities as well in the same tweet. So, we need to add a condition that accepts only the City entity. For that, we will need to add <strong>Apply to each <\/strong>control in the next step, which will loop all the entities in the tweet and a condition to check if the entity type is City.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/7-Entity-Extraction-AI-model.jpeg\"><img decoding=\"async\" class=\"aligncenter size-full wp-image-26929\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/7-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"604\" height=\"242\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/7-Entity-Extraction-AI-model.jpeg 604w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/7-Entity-Extraction-AI-model-300x120.jpeg 300w\" sizes=\"(max-width: 604px) 100vw, 604px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\">Add <strong>entities, <\/strong>they are an array of objects of the extracted entities. Then, click on <strong>Add an action <\/strong>and select<strong> Condition<\/strong>.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/7a-Entity-Extraction-AI-model.jpeg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter wp-image-26930 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/7a-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"634\" height=\"485\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/7a-Entity-Extraction-AI-model.jpeg 634w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/7a-Entity-Extraction-AI-model-300x229.jpeg 300w\" sizes=\"(max-width: 634px) 100vw, 634px\" \/><\/a><\/p>\n<p><strong>Step 8:<\/strong><\/p>\n<p>Add the condition where Entity type (City, Organization, Language, etc.) is equal to <strong>City<\/strong>.<\/p>\n<p>This will accept only the City entity and reject the others.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/8-Entity-Extraction-AI-model.jpeg\"><img decoding=\"async\" class=\"aligncenter size-full wp-image-26932\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/8-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"594\" height=\"194\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/8-Entity-Extraction-AI-model.jpeg 594w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/8-Entity-Extraction-AI-model-300x98.jpeg 300w\" sizes=\"(max-width: 594px) 100vw, 594px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\">This will classify the tweets and then you can proceed further with your business requirements like shown in the next step.<\/p>\n<p><strong>Step 9:<\/strong><\/p>\n<p style=\"text-align: justify;\">For example, we want to create a task record for tweets related to Boston. Hence, we can add a condition where we can check if the entity value is Boston. If yes, create \/ update the records as per the business requirements.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/9-Entity-Extraction-AI-model.jpeg\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter wp-image-26933 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/9-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"991\" height=\"463\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/9-Entity-Extraction-AI-model.jpeg 991w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/9-Entity-Extraction-AI-model-300x140.jpeg 300w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/9-Entity-Extraction-AI-model-768x359.jpeg 768w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/9-Entity-Extraction-AI-model-660x308.jpeg 660w\" sizes=\"(max-width: 991px) 100vw, 991px\" \/><\/a><\/p>\n<p><strong>Step 10:<\/strong><\/p>\n<p>Finally, run the flow and check the extracted output.<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/10-Entity-Extraction-AI-model.jpeg\"><img decoding=\"async\" class=\"aligncenter size-full wp-image-26934\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/10-Entity-Extraction-AI-model.jpeg\" alt=\"Using Entity Extraction AI Model within Dynamics 365 CRM \" width=\"661\" height=\"370\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/10-Entity-Extraction-AI-model.jpeg 661w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/10-Entity-Extraction-AI-model-300x168.jpeg 300w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/10-Entity-Extraction-AI-model-660x369.jpeg 660w\" sizes=\"(max-width: 661px) 100vw, 661px\" \/><\/a><\/p>\n<p><strong>Full Output:<\/strong><\/p>\n<p><strong><em>[<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0{<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;@odata.type&#8221;:\u00a0&#8220;#Microsoft.Dynamics.CRM.expando&#8221;,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;type&#8221;:\u00a0&#8220;Number&#8221;,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;startIndex&#8221;:\u00a01,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;length&#8221;:\u00a02,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;value&#8221;:\u00a0&#8220;24&#8221;,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;score&#8221;:\u00a00.8<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0},<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0{<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;@odata.type&#8221;:\u00a0&#8220;#Microsoft.Dynamics.CRM.expando&#8221;,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;type&#8221;:\u00a0&#8220;City&#8221;,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;startIndex&#8221;:\u00a0150,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;length&#8221;:\u00a06,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;value&#8221;:\u00a0&#8220;Boston&#8221;,<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0\u00a0\u00a0&#8220;score&#8221;:\u00a00.9<\/em><\/strong><\/p>\n<p><strong><em>\u00a0\u00a0}<\/em><\/strong><\/p>\n<p><strong><em>]<\/em><\/strong><\/p>\n<p style=\"text-align: justify;\">Following the above steps, we can use Prebuilt Entity Extraction AI model to achieve our business needs. If you know any other use case where we can use Entity Extraction AI model, feel free to share it with us in the comments. We would love to hear from you!<\/p>\n<h2><strong>Conclusion<\/strong><\/h2>\n<p style=\"text-align: justify;\">We have learned how to use the <a href=\"https:\/\/docs.microsoft.com\/en-us\/ai-builder\/prebuilt-overview\" target=\"_blank\" rel=\"noopener noreferrer\">Prebuilt Entity Extraction AI Model <\/a>in Power Automate Flow. In the next blog, we will see <a href=\"https:\/\/docs.microsoft.com\/en-us\/ai-builder\/entity-extraction-overview\" target=\"_blank\" rel=\"noopener noreferrer\">Custom Entity Extractions AI Model<\/a> (Preview).<\/p>\n<p><a href=\"https:\/\/www.inogic.com\/product\/productivity-apps\/click-2-export-microsoft-dynamics-crm-reports\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"aligncenter wp-image-26936 size-full\" src=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/c2e.jpg\" alt=\"click2export\" width=\"800\" height=\"200\" srcset=\"https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/c2e.jpg 800w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/c2e-300x75.jpg 300w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/c2e-768x192.jpg 768w, https:\/\/www.inogic.com\/blog\/wp-content\/uploads\/2021\/02\/c2e-660x165.jpg 660w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction: What comes in your mind first when you think of the Entity Extraction AI model? You might relate this with entities of Model Driven apps. However, this is not something related to it. Entity here does not demonstrate the entities we see in Model Driven Apps in Dynamics CRM but they are nouns like\u2026 <span class=\"read-more\"><a href=\"https:\/\/www.inogic.com\/blog\/2021\/02\/using-entity-extraction-ai-model-within-dynamics-365-crm-power-apps-part-1\/\">Read More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[16,19,44],"tags":[2109,545,592,2157,2158],"class_list":["post-26920","post","type-post","status-publish","format-standard","hentry","category-dynamics-365","category-dynamics-crm","category-power-apps","tag-ai-model","tag-dynamics-365-crm","tag-dynamics-crm","tag-entity-extraction-ai-model","tag-using-entity-extraction-ai-model"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/posts\/26920","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/comments?post=26920"}],"version-history":[{"count":0,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/posts\/26920\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/media?parent=26920"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/categories?post=26920"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inogic.com\/blog\/wp-json\/wp\/v2\/tags?post=26920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}