AWS Machine Learning Blog
Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise [ ] You can test if the Grant-PnPAzureADAppSitePermission cmdlet worked by connecting to the SharePoint site using the Azure AD app that has the SharePoint.Sites.Selected permission and run a few SharePoint API calls: Make a note of the certificate thumbprint as shown earlier. Install the certificate for the current user in the Windows Certificate Management Store. Run the following PowerShell cmdlet to connect to the SharePoint site collection using PnPOnline: Connect-PnPOnline -Url “<SharePoint site collection url> -ClientId "<client id>" -Thumbprint "<certificate thumbprint>" -Tenant "<tenant id> Run Get-PnPList to list all the SharePoint lists in the site collection and confirm that the permissions are configured correctly: Get-PnPList Troubleshooting For troubleshooting guidance, refer to Troubleshooting your SharePoint (Online) connector. Clean up Complete the following steps to clean up your resources: Open the Office 365 Admin Center using the account of a user member of the Tenant Global Admins group. Navigate to the Microsoft Azure Portal. Search for and choose App registrations. Select the app you created earlier, then choose Delete. On the Amazon Q Business console, choose Applications in the navigation pane. Select the application you created, and on the Actions menu, choose Delete. Conclusion In this post, we explored how Amazon Q Business can seamlessly integrate with SharePoint Online to help enterprises unlock the value of their data and knowledge. With the SharePoint Online connector, organizations can empower their employees to find answers quickly, accelerate research and analysis, streamline content creation, automate workflows, and enhance collaboration. We walked you through the process of setting up the SharePoint Online connector, including configuring the necessary Azure AD integration and authentication mechanisms. With these foundations in place, you can start unlocking the full potential of your SharePoint investment and drive greater productivity, efficiency, and innovation across your business. Now that you’ve learned how to integrate Amazon Q Business with your Microsoft SharePoint Online content, it’s time to unlock the full potential of your organization’s knowledge and data. To get started, sign up for an Amazon Q Business account and follow the steps in this post to set up the SharePoint Online connector. Then you can start asking Amazon Q natural language questions and watch as it surfaces the most relevant information from your company’s SharePoint sites and documents. Don’t miss out on the transformative power of generative AI and the Amazon Q Business platform. Sign up today and experience the difference that Amazon Q can make for your organization’s SharePoint-powered knowledge and content management. About the Authors Vijai Gandikota is a Principal Product Manager on the Amazon Q and Amazon Kendra team of Amazon Web Services. He is responsible for the Amazon Q and Amazon Kendra connectors, ingestion, security, and other aspects of Amazon Q and Amazon Kendra. Satveer Khurpa is a Senior Solutions Architect on the GenAI Labs team at Amazon Web Services. In this role, he uses his expertise in cloud-based architectures to develop innovative generative AI solutions for clients across diverse industries. Satveer’s deep understanding of generative AI technologies enables him to design scalable, secure, and responsible applications that unlock new business opportunities and drive tangible value. Vijai Anand Ramalingam is a Senior Modernization Architect at Amazon Web Services, specialized in enabling and accelerating customers’ application modernization, transitioning from legacy monolith applications to microservices. Ramesh Jatiya is a Senior Solutions Architect in the Independent Software Vendor (ISV) team at Amazon Web Services. He is passionate about working with ISV customers to design, deploy, and scale their applications in the cloud to derive business value. He is also pursuing an MBA in Machine Learning and Business Analytics from Babson College, Boston. Outside of work, he enjoys running, playing tennis, and cooking. Neelam Rana is a Software Development Engineer on the Amazon Q and Amazon Kendra engineering team. She works on Amazon Q connector design, development, integration, and test operations. Dipti Kulkarni is a Software Development Manager on the Amazon Q and Amazon Kendra engineering team of Amazon Web Services, where she manages the connector development and integration teams.
Published: 2024-07-25T17:53:00
