SAP Dedicates New End-to-End Growth Area Focused on AI

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  1. How to Implement a RAG Use Case With The Generative AI Hub on SAP AI Core

    Click Here to View the Session Deck In this session you will learn how to include large language models into your application. You will learn how to use custom documents to perform Retrieval Augmented Generation for Question-Answering to customize the models’ responses to your needs. The use case will be implemented using the Python SDK…...…

  2. SAP Dedicates New End-to-End Growth Area Focused on AI

    Reading time: 6 mins

    SAP’s intensified focus on business AI marks the onset of a transformative phase in enterprise innovation, driving forward the development and deployment of impactful, dependable, and ethical AI solutions that reshape core business operations. This strategic shift towards business AI heralds a pioneering era of change within the industry. As part of this initiative, SAP…

  3. Generative AI for Supply Chain Data Management

    The frenzy around ChatGPT has stabilized for the millions of experimental end-users. However, the game has just begun for the technology giants who will now be competing in this space. The generative AI space will be highly competitive, but the competition will come from something other than product differentiation. Whether it is ChatGPT, BARD, or…

  4. SAP Announces Multiple New AI Capabilities at TechEd

    Following the recent announcement of generative AI assistant Joule, SAP announced multiple new AI-related capabilities at SAP TechEd in Bangalore. Many of these new AI capabilities are part of SAP Business Technology Platform (BTP) including AI-powered application development, accelerated enterprise automation, the ability to host models from DataRobot in SAP AI Core, and AI Foundation…

  5. Simplify Data Distribution with the Open Hub Process

    Find out how SAP updated the open hub concept in SAP NetWeaver 7.0. Then see how to set up an open hub in four steps. Key Concept Open hub service is the idea that your SAP NetWeaver BI system can be the core of your data cleansing, storage, and distribution needs. Using SAP NetWeaver BI…...…

  6. SAP Expands Partnerships to Unlock Innovation

    SAP is collaborating with leading technology innovators to advance the boundaries of generative AI in the enterprise sector. Alongside broadening its partnerships with AWS and Microsoft, partnerships with Google Cloud, Meta, Mistral AI, and NVIDIA enable SAP to leverage cutting-edge AI technologies and allows it to innovate rapidly and achieve impactful real-world outcomes.

  7. Democratizing AI-Powered Automation with UiPath

    In this fast-paced modern world, companies frequently rush to incorporate cutting-edge technologies into their workflows, battling the challenges of labor-intensive tasks, interfacing with older software, and overseeing manual operations. However, it's essential to understand that Generative AI represents only one component of a broader digital transformation. When combined with enterprise automation, businesses can truly harness…

  8. Microsoft and SAP – Redefining the Work Experience

    Microsoft and SAP are strengthening their collaboration by integrating Joule with Microsoft Copilot, creating a seamless experience across both platforms. This integration enables the combined generative AI technologies to enhance user efficiency by facilitating quick access to information and streamlining workflows without switching platforms. Users can enjoy a consistent experience regardless of the copilot they…

  9. APO’s Capable-to-Match Functionality Eases Multi-Site Supply Planning

    The Supply Network Planning (SNP) module in SAP Advanced Planning and Optimization (APO) technology allows organizations to plan for sourcing, production, distribution, and purchasing. Use the SNP Capable-to-Match (CTM) planning tool to maintain inventory levels across the supply chain and to eliminate procurement shortfalls. Key Concept The Capable-to-Match (CTM) planning algorithm in SNP supports rule-…...…

  10. Harnessing Generative AI for the Legal Industry: Opportunities, Risks, and Strategies

    Businesses are increasingly embracing Generative AI capabilities. The legal industry, in particular, presents numerous opportunities for innovation by leveraging Generative AI (Gen AI) effectively. This is particularly evident when dealing with text-based outputs, as legal professionals often need to sift through a large number of documents and other unstructured content like images and videos. Additionally,…