AWS sap documentation change
Summary
Changed 'Amazon Q in QuickSight' to 'Amazon Quick Sight' with updated links and image references
Security assessment
This appears to be a branding/naming convention update rather than a security-related change. No security features or vulnerabilities are mentioned in the modified content.
Diff
diff --git a/sap/latest/general/artificial-intelligence.md b/sap/latest/general/artificial-intelligence.md index be76b685a..828253827 100644 --- a//sap/latest/general/artificial-intelligence.md +++ b//sap/latest/general/artificial-intelligence.md @@ -21,13 +21 @@ Data serves as the cornerstone for the success of any generative AI solution. Th -This architectural guidance helps you build advanced AI solutions. It shows you how to effectively combine RISE with SAP, SAP Business Technology Platform (BTP), and AWS's AI services to create powerful and innovative systems. - -**SAP Generative AI Hub** - -The [SAP Generative AI Hub](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/generative-ai-hub-in-sap-ai-core) facilitates enterprise customers to seamlessly access a comprehensive array of commercial and open-source Large Language Models (LLMs) within a secure and controlled environment. SAP’s Generative AI Hub further streamlines the process by which organizations running on RISE can access and implement sophisticated AI models hosted by Amazon. For further details on the SAP’s Generative AI Hub supported models through Bedrock, please refer to [SAP Note 3437766](https://me.sap.com/notes/3437766). - -With these models now available through the Generative AI Hub, developers can effectively harness them in conjunction with the robust capabilities of SAP BTP to construct and scale AI-driven solutions that integrate seamlessly with SAP applications. - -RISE customers can leverage Bedrock LLM models through SAP BTP services to create tailored AI solutions including enhanced capabilities for SAP’s AI copilot Joule. This integration enables automated workflows and optimized enterprise data processing, ensuring RISE customers achieve precise, actionable business outcomes in their cloud transformation journey. - - - -The diagram illustrates a design framework for a Generative AI solution or an S/4 HANA extension, created and implemented on the BTP. This design illustrates smooth integration with RISE and SAP Solutions that operate on AWS. utilizing the connectivity service and leveraging Bedrock LLM models through the Generative AI Hub. +This architectural guidance helps you build advanced AI solutions. It shows you how to effectively combine RISE with SAP and AWS's AI services to create powerful and innovative systems. @@ -69 +57 @@ Solution Flow: -**Amazon Q in QuickSight** +**Amazon Quick Sight** @@ -71 +59 @@ Solution Flow: -[Amazon Q in QuickSight](https://aws.amazon.com/quicksight/q/) revolutionizes SAP data analysis through its advanced 'Generative business intelligence' capabilities, empowering business users with intuitive self-service reporting tools. Using natural language prompts, RISE customers can effortlessly create sophisticated visual dashboards and data narratives without requiring SQL or programming expertise. +[Amazon Quick Sight](https://aws.amazon.com/quicksuite/quicksight/) revolutionizes SAP data analysis through its advanced 'Generative business intelligence' capabilities, empowering business users with intuitive self-service reporting tools. Using natural language prompts, RISE customers can effortlessly create sophisticated visual dashboards and data narratives without requiring SQL or programming expertise. @@ -75 +63 @@ This democratization of data analysis dramatically reduces report generation tim - + @@ -77 +65 @@ This democratization of data analysis dramatically reduces report generation tim -The diagram illustrates a framework of Amazon Q in Quicksight with SAP Data. +The diagram illustrates a framework of Amazon Quick Sight with SAP Data. @@ -87,46 +75 @@ Solution Flow: - 4. Now using Q in Quicksight, you can interact with the data generated by SAP reports using natural language and get insights of data, to build dashboard and generate stories. - - - - -**Amazon Bedrock Agents** - -[Amazon Bedrock Agents](https://aws.amazon.com/bedrock/agents/) offers the ability to build and configure autonomous agents in your application. An agent helps end-users complete actions based on organization data and user input. Agents orchestrate interactions between foundation models (FMs), data sources, software applications, and user conversations. In addition, agents automatically call APIs to take actions and invoke [Amazon Bedrock Knowledge Bases](https://aws.amazon.com/bedrock/knowledge-bases/) to supplement information for these actions. By integrating Bedrock Agents, you can accelerate development effort to deliver generative artificial intelligence (generative AI) applications. - -Agents perform the following tasks: - - * Extend foundation models to understand user requests and break down the tasks that the agent must perform into smaller steps. - - * Collect additional information from a user through natural conversation. - - * Take actions to fulfill a customer’s request by making API calls to your company systems. - - * Augment performance and accuracy by querying data sources. - - - - -RISE customers can significantly optimize their business processes by leveraging Bedrock Agents. These agents seamlessly integrate with SAP systems, other enterprise systems and organisation’s enterprise knowledge base, enabling natural language interactions to automate complex business processes and workflows. - -By combining SAP and other enterprise data with AWS's advanced AI capabilities, customers can create customized, secure and comprehensive solutions that streamline operations, improve decision-making, and drive innovations. - -Bedrock Agents can be tailored to specific business requirements, allowing organizations to automate routine tasks, extract valuable insights from SAP and other enterprise data, and scale their AI implementations efficiently across the enterprise. This integration empowers RISE customers to accelerate their digital transformation while maintaining data security and compliance within their SAP ecosystem. - - - -The diagram above illustrates for a Generative AI architecture that automates tasks for your customers and answers questions from their SAP and other enterprise landscape. - -Solution Flow: - - 1. Users access the application through a lightweight application such as Streamlit User Interface, Slack or Microsoft Teams. - - 2. Based on user inputs, Bedrock Agent orchestrates interactions between different applications, data sources or knowledge bases. - - 3. If the user query is related to SAP sales order, then the Bedrock Agent invokes the Sales Order action group which calls SAP API to get the related details. - - 4. If the user query is related to SAP shipping information, Bedrock Agent invokes the Non-SAP Logistic System action group. - - 5. If the user queries general information from the organisation’s enterprise data, the Bedrock Agent invokes the General-Information knowledge base. - - 6. If the user query requires data from multiple systems, the Bedrock Agent fetches it from the different tools and collates it in the response. - + 4. Now using Q in Quick Sight, you can interact with the data generated by SAP reports using natural language and get insights of data, to build dashboard and generate stories. @@ -136 +78,0 @@ Solution Flow: -The vision of having an autonomous ERP system may come to a reality where workflow are automated with Bedrock Agents, reducing manual effort and improving productivity of users for a more important business tasks and processes.