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  • SAP Generative AI Assistant on AWS

    This Guidance demonstrates how to improve business user productivity and the user experience by leveraging real-time data summaries, task automation, and seamless natural language interactions. It showcases the integration of Amazon Bedrock for generative AI and Amazon Lex for conversational AI assistant capabilities. The Guidance is designed to be extensible, allowing you to seamlessly extend both SAP S/4HANA native and RISE with SAP capabilities with other AWS services, enabling a more comprehensive and tailored solution for your business needs.
  • Building Travel Assistants Using Amazon Bedrock Agents

    This Guidance demonstrates how organizations in the travel and hospitality (T&H) industry can build an intelligent virtual assistant that uses generative AI to streamline every aspect of travel planning.
  • Retail Analytics using Generative AI

    This Guidance shows how to use large language models (LLMs) to generate SQL queries and perform data analytics, enhancing the value of your data.
  • Generative AI Model Optimization Using Amazon SageMaker

    This Guidance shows how you can optimize your generative AI models using Amazon SageMaker, a service where you can build, train, and deploy large language models (LLMs) at scale.
  • Data Federation between SAP and AWS

    This Guidance outlines the process of federating data between SAP and AWS cloud analytics services, enabling you to establish a data mesh architecture. SAP provides enterprise software for running business processes, from enterprise resource planning to customer relationship management. By connecting SAP with AWS, you can easily transform and visualize your data in a scalable, secure, and cost-effective way, helping you inform your decision-making.
  • Developing Apple iOS and Vision Pro Applications with Unity on Amazon EC2

    This Guidance demonstrates how developers can build applications on mobile iOS and Apple Vision Pro in the AWS Cloud using Unity—a widely-used game engine and development platform where developers can create immersive 2D and 3D interactive experiences.

  • Media Provenance with C2PA on AWS

    This Guidance demonstrates how to run the Coalition for Content Provenance and Authenticity (C2PA) standard for tracking provenance with media workloads on AWS.
  • 使用 Amazon Q Business 的 AI 助理

    本指引示範企業如何透過 Amazon Q Business 強大的生成式 AI 功能充分挖掘資料的價值。
  • Automating Networking Monitoring and Alerting on AWS

    This Guidance demonstrates how to automate the setup of Amazon CloudWatch dashboards for monitoring and alerting network resources on AWS.
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