Build a profitable business for migration of SAP workloads (PEX205)

Here is a detailed summary of the video transcription in markdown format, with the key takeaways broken into sections for better readability:

AWS and SAP Collaboration

  • The collaboration between AWS and SAP is critical, with the goal of enabling SAP customers to apply generative AI and innovate faster.
  • Key examples of the collaboration:
    • SAP customers can access leading foundation models from Amazon Bedrock in their SAP BTP environment.
    • SAP is using AWS Trainium and Inferentia to train and fine-tune large language models (LLMs) more efficiently.
    • SAP's AI assistant, JulIA, is running mainly on AWS data centers.
    • A reference architecture is provided for consuming generative AI capabilities of Amazon Bedrock within SAP BTP.

SAP CX AI Capabilities

  • SAP CX AI delivers four key capabilities that transform how enterprises work across e-commerce, marketing, sales, and customer service:
    1. Unified customer data to create a 360-degree view and generate actionable insights.
    2. Intelligent search to easily find relevant information across CRM, product data, and document stores.
    3. Automated content creation, such as product descriptions and visual assets, to scale content operations.
    4. Next-generation AI agents that can handle complex, multi-step challenges.

Leveraging Generative AI in SAP Environments

  • Customers and partners can leverage AWS services, including Amazon Bedrock and the AWS SDK for SAP ABAP, to enhance and extend their SAP environments.
  • Use cases include:
    • Accelerating accounts payable audits with intelligent assistants.
    • Translating and documenting millions of lines of legacy SAP code.
    • Enabling code translations and predictive maintenance for Enterprise Asset Management.

Why SAP on AWS?

  • The AWS and SAP partnership offers several benefits:
    • Access to generative AI models in Amazon Bedrock, within SAP BTP.
    • SAP's use of AWS Trainium and Inferencia for training and deploying AI models.
    • Secure and customizable environment for building generative AI applications.
    • Ease of integrating AWS services, such as the AWS SDK for SAP ABAP, into SAP environments.
    • Flexibility to use a variety of foundation models, including from AWS and partners.

Call to Action

  • AWS and SAP offer the following support for customers and partners:
    • Prototype your generative AI use cases and build proof of concepts.
    • Receive guidance on your data strategy and its importance for a successful generative AI strategy.
    • Attend immersion sessions and hackathons to learn more about the services.
    • Explore pre-built solutions developed by AWS partners for SAP environments.
    • Engage with AWS and SAP teams to get help with your specific needs and use cases.

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