The SAP AI strategy is evolving, providing businesses with robust AI solutions through the generative AI hub in SAP AI Core on the SAP Business Technology Platform (SAP BTP). This strategy aims to deliver AI capabilities that are not only advanced but also tailored to meet the specific needs of businesses. By integrating Meta’s Llama 2 and Llama 3 models, SAP is enhancing its portfolio to offer more sophisticated and practical AI solutions.
SAP’s approach to AI is rooted in a strong ethics framework, ensuring that the AI solutions provided are reliable, responsible, and relevant. By partnering with other leading entities, SAP harnesses industry-specific data and deep process knowledge to create insights that drive significant value for businesses. This collaborative, multi-partner approach provides flexibility and prevents vendor lock-in, empowering customers and partners to effectively leverage AI in their operations.
SAP is set to enhance its Analytics Cloud with the inclusion of Joule, a tool designed to help users in planning and analytics roles complete tasks more efficiently and achieve better business outcomes. Joule, powered by Meta Llama 3, offers capabilities such as the auto-generation of custom scripts to extend dashboards, providing users with the most accurate scripts directly within SAP Analytics Cloud.
The aim is to integrate generative AI into key workflows within SAP Analytics Cloud, transforming how these processes function and unlocking innovative possibilities for planning and analytics professionals globally. This integration will also streamline workflows, making it easier for users to perform their tasks and drive better business results.
Bringing Meta Llama 3 to the Generative AI Hub
Responding to customer interest, SAP will make Meta Llama 3 available in the generative AI hub in SAP AI Core by Q2 2024. This addition further simplifies the creation of generative AI use cases for SAP applications, thanks to the hub’s value-adding features around SAP integration and the orchestration of language model interactions.
Meta Llama 3, particularly its 70B variant, will be the largest open-source model available in the generative AI hub. This will empower developers within the SAP ecosystem to leverage its features, enhancing the development of innovative and practical AI solutions.
SAP customers are continually looking for ways to enhance the visual appeal and relevance of images within the SAP SuccessFactors HCM suite. The current process of sourcing and uploading images can be both time-consuming and expensive, often resulting in generic images that do not fully meet specific needs.
By integrating Meta’s latest open-source large language model (LLM), SAP provides a solution to this challenge. Models like Llama 3 offer creative capabilities that allow users to generate custom images tailored to their specific requirements within SAP SuccessFactors. This includes creating customized course content thumbnails and banners for learning, tailored images for assignments in SAP SuccessFactors Opportunity Marketplace, unique images for different home page themes, and personalized profile and banner images in people profiles.
This feature also streamlines the image creation process, reduces costs, and ensures that every image is contextually appropriate. The result is improved user engagement and a more compelling overall platform experience. SAP customers can look forward to a new era of custom imagery that enhances the visual and functional aspects of their platforms.
Future Prospects of the SAP AI Strategy
The SAP AI strategy, marked by the integration of Meta’s Llama models, represents a significant advancement in the company’s AI capabilities. By providing access to advanced AI models through the generative AI hub, SAP enables businesses to harness the power of AI in ways that are directly relevant to their needs.
As SAP continues to evolve its AI offerings, customers can expect more innovative solutions that drive efficiency, reduce costs, and enhance user experiences. The company’s commitment to ethical AI practices ensures that these solutions are not only effective but also responsible and reliable.
