Maximizing Value for the Education and Research Industry with SAP Business AI

In the Education and Research industry, SAP Business AI is revolutionizing operations by enhancing efficiency, personalization, and student engagement. The following figure summarizes some key business challenges universities must solve.

AI transforms the Education and Research institutions by streamlining operations across departments, and guides a smooth transition to the public cloud. The following graphic illustrates how this transformation is realized with SAP Business AI.

1. At the heart of SAP Business AI is the AI Foundation on Business Technology Platform (BTP). The comprehensive AI Foundation supports the Education and Research industry with a complete set of services to create precisely what the business needs. Each industry can develop AI-driven work flows for autonomous problem-solving across complex tasks.

2. The Generative AI Hub, part of AI Foundation, covers the entire AI life cycle. It enables the Education and Research industry to develop, deploy, and manage custom AI solutions and AI-powered SAP application extensions. The AI Foundation ensures that these solutions are reliable, relevant, and responsible, adhering to high ethical and data privacy standards. SAP Business AI uses computational and generative AI technologies to solve specific business problems, leveraging data across the institution. The hub serves as an abstraction layer to access a wide range of frontier large language models (LLMs) from providers like OpenAI, Google, and AWS, ensuring full trust and control to safeguard data.

3. Joule is SAP's generative AI copilot designed to revolutionize interactions with SAP business systems. It acts as an AI assistant that understands the Education and Research business, simplifying tasks and enhancing user experiences across SAP's solution portfolio. The system of Joule Agents goes beyond basic automation. The AI agents aren't just tools. They're active participants offering conversational interactions between humans and computers. They actively collaborate across the business, delivering real-time insights, intelligent automation, and predictive capabilities that adapt and respond to the unique industry needs. They drive the education and research business forward, turning insights into coordinated actions across the whole institution.

4. AI capabilities are embedded in SAP applications where they matter most. Along the business value chain they automate tasks, optimize operations, and provide insights. AI-driven analytics are for example used by the financial department to get insights into spending patterns or by the department that is responsible for student affairs to provide personalized student experiences tailored to their individual preferences and behaviors.

The following three examples illustrate how SAP Business AI can be applied in the Education and Research industry.

1. Student performance optimization with an AI-powered academic performance assistant: An academic advisor receives alerts when a student's performance declines. AI recommends personalized study materials to improve their grades.

   • What it does: Analyzes student data to provide personalized learning experiences and optimize academic performance.
   • How it works: AI tools scan historical academic records and learning behaviors to generate tailored study plans and resource allocation.
   • Business impact: Enhances student engagement, reduces dropout rates, and improves academic outcomes.

2. Research project management with AI-enhanced project insights: A research manager receives a comprehensive overview of project progress, aiding in resource allocation and timeline adjustments .

   • What it does: Provides researchers with data-driven insights to optimize project planning and execution.
   • How it works: AI analyzes project data, including timelines and resource allocation, to offer refined insights for research teams.
   • Business impact: Improves project management, reduces research overhead, and enhances the accuracy of research outcomes.

3. AI-driven administrative optimization: A university administrator receives alerts about potential staffing shortages and AI-generated recommendations for recruitment strategies.

   • What it does: Automates administrative tasks and optimizes resource allocation based on historical data and current demand.
   • How it works: AI tools analyze administrative data to forecast staffing requirements and automate routine processes.
   • Business impact: Reduces administrative workload, ensures efficient resource use, and improves operational efficiency.

As illustrated in the following figure, the SAP AI Launchpad allows users to access the SAP Business AI across multiple devices and develop, deploy and manage custom AI solutions and AI-powered SAP applications through the generative AI hub.

The laptop screen displays a prompt for starting a conversation with a model. The smartphone screen illustrates a draft email generated by the AI model gemini-1.5-pro. The monitor highlights various AI model options available for deployment, including versions of Anthropic Claude and Amazon Titan.

• SAP Business AI transforms the Education and Research industry by streamlining operations across departments and guiding a smooth transition to the public cloud. Student performance and research project management can be optimized.

• The AI Foundation supports the Education and Research industry with a complete set of services to create precisely what the business needs. The generative AI Hub plays a key role because it enables the users to develop, deploy, and manage custom AI solutions and AI-powered SAP application extensions.

• The Joule agents revolutionize interactions with SAP business systems and act as AI assistants that understand the Education and Research business, simplifying tasks and enhancing user experiences across SAP's solution portfolio.