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Extend SAP RISE for Generative AI with SAP BTP on Azure using Prompt Flow

| Sanjeev Kumar |

BTP AI

YouTube

Anchor

Spotify

Apple

Episode #194

Introduction

In episode 194 of our SAP on Azure video podcast we continue our story with SAP and AI. Last week we had Trond on the show who talked about leveraging the Azure Center for SAP Solutions with AI services. When we look at a lot of SAP customers, they are using the SAP Business Technology Platform with their SAP ECC or S/4HANA System. So today Sanjeev Kumar joins us to talk about a scenario that he has build and published on GitHub which integrates Azure OpenAI GPT-4 with SAP Business Technology Platform.

Find all the links mentioned here: https://www.saponazurepodcast.de/episode194

Reach out to us for any feedback / questions:

#Microsoft #SAP #Azure #SAPonAzure #AI #GPT4

Summary created by AI

  • SAP on Azure Video Podcast: Holger introduced the episode, highlighting its focus on SAP and AI, and welcomed Sanjeev Kumar to discuss his work integrating Azure Open AI with SAP BTP.
    • Episode Introduction: Holger opened the podcast by welcoming viewers to episode 194, emphasizing the ongoing discussion on SAP and AI, and introduced Sanjeev Kumar as the guest to discuss the integration of Azure Open AI with SAP BTP.
    • Guest Introduction: Sanjeev Kumar, a Cloud Solution Architect at Microsoft, was introduced as the guest speaker to share insights on his project that integrates Azure Open AI with SAP BTP, which has been published on GitHub.
  • SAP and AI Integration: Sanjeev Kumar, a Cloud Solution Architect at Microsoft, shared his role and focus on integrating AI and SAP, emphasizing the importance of leveraging Azure Open AI services and SAP on Azure for customers.
    • Sanjeev’s Role: Sanjeev Kumar described his role at Microsoft as a Cloud Solution Architect, focusing on technical architecture, design, and deployment guidance for AI and SAP topics, primarily in Switzerland.
    • Integration Focus: He highlighted his work on integrating Azure Open AI services with SAP, discussing the significance of Azure AI services and SAP on Azure for customer value enhancement and transformation.
    • Customer Value: Sanjeev emphasized the unlocking of substantial value in the SAP ecosystem for customers by combining SAP BTP with Microsoft AI platform and Azure, using solutions like prompt flow.
  • Prompt Flow Framework: Sanjeev demonstrated the Prompt Flow framework, showcasing its potential to facilitate agile development and integration of AI services with SAP systems, highlighting its deployment on GitHub for public access.
    • Prompt Flow Demonstration: Sanjeev showcased the Prompt Flow framework, explaining its capabilities in enabling agile development and the orchestration of AI services with SAP systems.
    • Agile Development: The framework was highlighted for its potential to accelerate the development process, allowing for iterative testing and deployment of AI applications.
    • GitHub Deployment: Sanjeev mentioned the availability of the solution on GitHub, indicating that it is accessible for public use and can be integrated with SAP BTP.
  • Deployment on BTP: Sanjeev detailed the process of deploying the Prompt Flow application on SAP BTP, using Cloud Foundry, and discussed the importance of setting up a DevOps process for efficient deployment and management.
    • Deployment Process: Sanjeev explained the deployment process of the Prompt Flow application on SAP BTP, utilizing Cloud Foundry and the importance of environment variables setup for secure deployment.
    • DevOps Importance: The discussion emphasized the significance of establishing a DevOps process for efficient management and deployment of applications on BTP, ensuring a streamlined workflow from development to production.
    • Application Testing: Sanjeev demonstrated testing the deployed application using Postman, showcasing the application’s ability to interact with Azure Open AI services and return responses in various formats.
  • AI Studio and Prompt Flow: Sanjeev showcased the Azure AI Studio and Prompt Flow, emphasizing their utility in agile development and testing of AI applications, and the ease of switching between different GPT versions for optimal performance.
    • Azure AI Studio: Sanjeev introduced Azure AI Studio, highlighting its recent general availability and its comprehensive features for managing large language model deployments like GPT-3.5 and GPT-4.
    • Prompt Flow Utility: The utility of Prompt Flow in agile development was discussed, with Sanjeev demonstrating how it allows for easy testing and iteration of AI applications, including the ability to switch between different GPT versions.
    • Performance Optimization: The ease of optimizing performance by switching between different GPT versions was emphasized, showcasing the flexibility of the framework in adapting to various AI scenarios.
  • Security and Governance: Holger and Sanjeev discussed the benefits of running SAP and AI services on Azure, including improved security, governance, and performance due to reduced latency and unified workload management.
    • Security Benefits: Holger highlighted the security advantages of running SAP and AI services on Azure, such as the ability to lock down services and work with private endpoints to reduce the attack surface.
    • Governance and Performance: Sanjeev and Holger discussed the governance and performance benefits, including reduced latency and unified management of workloads, which contribute to a better user experience and faster adoption of generative AI applications.
    • Unified Workload Management: The conversation underscored the importance of unified workload management for SAP and AI services on Azure, ensuring better governance, security, and performance across the entire technology stack.

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