%0 Journal Article %1 noauthororeditor %A S, Poornima S | Muthukumarasamy %D 2020 %J International Journal of Trend in Scientific Research and Development %K Azure Document Policy Power Text analytics automate cognitive extraction library management services workflow %N 4 %P 1056-1058 %T Modern Workspace Based Policy Management with Automated Keyword Extraction and AI Based Records Management using Azure Cognitive Services %U https://www.ijtsrd.com/computer-science/other/31310/modern-workspacebased-policy-management-with-automated-keyword-extraction-and-ai-based-records-management-using-azure-cognitive-services/poornima-s %V 4 %X Every Organization will have their own standards and work formats, to establish their standards among employees and other users, the organization will create policies. These policies need to be maintained properly and need to be retrieved whenever needed. The main difficulties in the process of creating policies are, getting approval from approvers authorities and keeping track of approval status, and extracting keywords from the policies for easier search and future retrieval. The measures to overcome these difficulties are discussed in this paper. The main aim of this paper is to explore the ways to create a modern workspace based policy management with multiple level authoring and approval with both publishing and consumption views, in order to overcome the inefficient and complex methods of maintaining and managing documents across the organization. This system has multi level approval workflow, AI based records management and use of Microsoft Office 365 Graph APIs to take care of regulatory functions based on certain business criteria. Poornima S | Muthukumarasamy S "Modern Workspace-Based Policy Management with Automated Keyword Extraction and AI Based Records Management using Azure Cognitive Services" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31310.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/31310/modern-workspacebased-policy-management-with-automated-keyword-extraction-and-ai-based-records-management-using-azure-cognitive-services/poornima-s

@article{noauthororeditor, abstract = {Every Organization will have their own standards and work formats, to establish their standards among employees and other users, the organization will create policies. These policies need to be maintained properly and need to be retrieved whenever needed. The main difficulties in the process of creating policies are, getting approval from approvers authorities and keeping track of approval status, and extracting keywords from the policies for easier search and future retrieval. The measures to overcome these difficulties are discussed in this paper. The main aim of this paper is to explore the ways to create a modern workspace based policy management with multiple level authoring and approval with both publishing and consumption views, in order to overcome the inefficient and complex methods of maintaining and managing documents across the organization. This system has multi level approval workflow, AI based records management and use of Microsoft Office 365 Graph APIs to take care of regulatory functions based on certain business criteria. Poornima S | Muthukumarasamy S "Modern Workspace-Based Policy Management with Automated Keyword Extraction and AI Based Records Management using Azure Cognitive Services" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31310.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/31310/modern-workspacebased-policy-management-with-automated-keyword-extraction-and-ai-based-records-management-using-azure-cognitive-services/poornima-s }, added-at = {2020-07-16T11:43:42.000+0200}, author = {S, Poornima S | Muthukumarasamy}, biburl = {https://www.bibsonomy.org/bibtex/2304d4fba457fb7db468c7787c2cd24bb/ijtsrd}, interhash = {e42f8f96bcda13b3c9c828a9b06fa132}, intrahash = {304d4fba457fb7db468c7787c2cd24bb}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Azure Document Policy Power Text analytics automate cognitive extraction library management services workflow}, language = {English}, month = {june}, number = 4, pages = {1056-1058}, timestamp = {2020-07-16T11:43:42.000+0200}, title = {Modern Workspace Based Policy Management with Automated Keyword Extraction and AI Based Records Management using Azure Cognitive Services }, url = {https://www.ijtsrd.com/computer-science/other/31310/modern-workspacebased-policy-management-with-automated-keyword-extraction-and-ai-based-records-management-using-azure-cognitive-services/poornima-s}, volume = 4, year = 2020 }