Merge pull request #2735 from vmagelo/batch2-seo-fix4

Batch2 seo fix 4 auditing-and-risk-compliance

docs/browse/data/architectures.json

@@ -575,8 +575,8 @@
             "category": [
                 "ai-machine-learning"
             ],
-            "image": "/azure/architecture/solution-ideas/media/auditing-and-risk-compliance.png",
-            "imagepath": "C:\\jvPnpRepos\\architecture-center-pr\\docs\\solution-ideas\\media\\auditing-and-risk-compliance.png",
+            "image": "/azure/architecture/solution-ideas/media/knowledge-mining-auditing-and-risk-compliance.png",
+            "imagepath": "C:\\jvPnpRepos\\architecture-center-pr\\docs\\solution-ideas\\media\\knowledge-mining-auditing-and-risk-compliance.png",
             "publish_date": "12/16/2019",
             "Flow": {
                 "FlowStep_A": "This content is enriched by using key phrase extraction, language detection, language translation,entity extraction (organizations and people) and custom models to identify certain regulatory obligations and custom models to identify specific legal terms and clauses",

docs/solution-ideas/articles/auditing-and-risk-compliance-content.md

@@ -3,21 +3,29 @@
 
 [!INCLUDE [header_file](../../../includes/sol-idea-header.md)]
 
-In the ever-changing world of regulations, organizations face the challenge of staying on top of audits and compliance. Mistakes in contracts and record-keeping can have serious financial ramifications. At the enterprise level, teams of lawyers might not be enough to catch everything. Knowledge mining can provide helpful assistance for organizations looking to stay above board.
+This architecture demonstrates how to use [knowledge mining](https://azure.microsoft.com/solutions/knowledge-mining/) in auditing, risk, and compliance management.
 
-For most organizations, the legal department faces the challenge of reviewing thousands of pages of documentation. Developers could use knowledge mining to help attorneys quickly identify entities of importance from discovery documents and flag important ideas across documents
+In the ever-changing world of regulations, organizations face the challenge of staying on top of audits and compliance. Mistakes in contracts and record-keeping can have serious financial ramifications. At the enterprise level, teams of lawyers might not be enough to catch everything when faced with thousands of pages of documentation. Knowledge mining can help organizations looking to stay compliant by enabling attorneys quickly find information from documents and flag important ideas.
 
-![Architecture Diagram](../media/auditing-and-risk-compliance.png)
+## Data flow for knowledge mining
 
-## Data Flow
+There are three steps in knowledge mining: ingest, enrich, and explore.
+
+![Architecture Diagram: knowledge mining in auditing, risk, and compliance management.](../media/knowledge-mining-auditing-and-risk-compliance.png)
 
 There are three steps:
 
-Ingest, Enrich and Exploration. First, the unstructured and structured data is ingested then enrichment of this data with AI to extract information and find and finally explore the newly structured data via search, existing business applications or analytics solutions.
+- **Ingest**
+
+  The ingest step aggregates content from a range of sources, including structured and unstructured data. For auditing, risk, and compliance management, you can ingest different types of content including but not limited to: affidavits, meeting minutes, operating agreements, agreements, privacy policies, terms of use, memorandums of understanding, licensing agreements, letters of intent, power of attorney, deeds, discovery documentation, company bylaws, operating agreements, bank statements, legal agreements, balance sheets, income statements, cash flow statements, company disclosures, SEC documents, annual reports, and transcripts from shareholder meetings.
+
+- **Enrich**
 
-1. The user can ingest different types of content like affidavits, meeting minutes, operating agreements, non-disclosure agreements, privacy policies, terms of use, memorandums of understanding, licensing agreements, letters of intent, power of attorney, deeds, discovery documentation,company bylaws, operating agreements, bank statements, legal agreements, balance sheets, income statements, cash flow statements, company disclosures, SEC documents, annual reports, transcripts from shareholder meetings
-2. This content is enriched by using key phrase extraction, language detection, language translation,entity extraction (organizations and people) and custom models to identify certain regulatory obligations and custom models to identify specific legal terms and clauses
-3. And finally, the user can index data in a searchable internal application or use the data for a searchable web application for financial risks
+  The enrich step uses AI capabilities to extract information, find patterns, and deepen understanding. You can enrich content with key phrase extraction, language detection, language translation, and entity extraction (organizations and people). Use custom models to identify certain regulatory obligations and custom models to identify specific legal terms and clauses.
+
+- **Explore**
+
+  The explore step is exploring the data via search, bots, existing business applications, and data visualizations. For example, you can integrate the search index into an internal application or web application for financial risks.
 
 ## Components
 
@@ -28,8 +36,10 @@ Key technologies used to implement tools for technical content review and resear
 - [Microsoft Translator Text API](https://azure.microsoft.com/services/cognitive-services/translator-text-api/)
 - [Web API custom skill interface](/azure/search/cognitive-search-custom-skill-interface)
 
-## Next Steps
+## Next steps
+
+- Use the [knowledge mining solution accelerator](/samples/azure-samples/azure-search-knowledge-mining/azure-search-knowledge-mining/) to build an initial knowledge mining prototype with Azure Cognitive Search.
 
-Using the [knowledge mining solution accelerator](/samples/azure-samples/azure-search-knowledge-mining/azure-search-knowledge-mining/) to build an initial knowledge mining prototype with Azure Cognitive Search.
+- Build an Azure Cognitive Search [custom skill](/azure/search/cognitive-search-custom-skill-interface).
 
-Building custom skills with Microsoft's [Custom Web API](/azure/search/cognitive-search-custom-skill-interface)
+- Explore the Microsoft Learning Path [knowledge mining with Azure Cognitive Search](/learn/paths/implement-knowledge-mining-azure-cognitive-search/).

docs/solution-ideas/articles/auditing-and-risk-compliance.yml

@@ -2,7 +2,7 @@
 metadata:
   title: Auditing, risk, and compliance management
   titleSuffix: Azure Solution Ideas
-  description: Learn how to use knowledge mining to help attorneys quickly identify entities of importance from discovery documents and flag important ideas across documents.
+  description: Learn how to use knowledge mining to help attorneys quickly find information from discovery documents and flag important ideas across documents.
   author: doodlemania2
   ms.author: pracjain
   ms.date: 12/16/2019
@@ -14,13 +14,16 @@ metadata:
   ms.custom:
     - acom-architecture
     - ai-machine-learning
-  social_image_url: /azure/architecture/solution-ideas/articles/media/auditing-and-risk-compliance.png
-name: 'Auditing, risk, and compliance management'
+    - aml-project-improvement
+  social_image_url: /azure/architecture/solution-ideas/articles/media/knowledge-mining-auditing-and-risk-compliance.png
+name: Knowledge mining in auditing, risk, and compliance management
 azureCategories:
   - ai-machine-learning
-summary: Learn how to use knowledge mining to help attorneys quickly identify entities of importance from discovery documents and flag important ideas across documents.
+summary: Learn how to use knowledge mining to help attorneys quickly find information from discovery documents and flag important ideas across documents.
 products:
   - azure-cognitive-search
-thumbnailUrl: /azure/architecture/browse/thumbs/auditing-and-risk-compliance.png
+  - azure-text-analytics
+  - azure-translator
+thumbnailUrl: /azure/architecture/browse/thumbs/knowledge-mining-auditing-and-risk-compliance.png
 content: |
   [!include[](auditing-and-risk-compliance-content.md)]

includes/cards/auditing-and-risk-compliance.md

@@ -6,7 +6,7 @@
 <article class="card">
     <div class="card-header has-margin-bottom-none" aria-hidden="true">
         <figure class="image diagram has-height-175 has-overflow-hidden level">
-            <a href="/azure/architecture/solution-ideas/articles/auditing-and-risk-compliance"><img src="/azure/architecture/browse/thumbs/auditing-and-risk-compliance.png" class="diagram" alt="Thumbnail of Auditing, risk, and compliance management Architectural Diagram." data-linktype="relative-path"></a>
+            <a href="/azure/architecture/solution-ideas/articles/auditing-and-risk-compliance"><img src="/azure/architecture/browse/thumbs/knowledge-mining-auditing-and-risk-compliance.png" class="diagram" alt="Thumbnail of Auditing, risk, and compliance management Architectural Diagram." data-linktype="relative-path"></a>
         </figure>
     </div>
     <div class="card-content">
@@ -17,7 +17,7 @@
             <li>12/16/2019</li>
             <li>2 min read</li>
         </ul>
-        <p class="card-content-description">Developers could use knowledge mining to help attorneys quickly identify entities of importance from discovery documents and flag important ideas across documents</p>
+        <p class="card-content-description">Learn how to use knowledge mining to help attorneys quickly identify find information from discovery documents and flag important ideas across documents.</p>
         <div class="bottom-to-top-fade is-hidden-mobile"></div>
     </div>
 </article>