Transform Your Business with Generative AI
Table of Contents
- 🤖 Introduction to SAP TechEd
- 📈 Embracing the Future with AI and SAP Solutions
- 2.1 The Role of Artificial Intelligence
- 2.2 Infusing AI into Business Processes
- 2.3 Understanding Generative AI
- 💡 Benefits of Generative AI
- 3.1 Accessibility for Non-Technical Users
- 3.2 Broad Applicability and Pre-Training
- 3.3 Adaptability to Specific Use Cases
- 🌐 Expanding Capabilities with Generative AI
- 4.1 Language Translation and Summarization
- 4.2 Question Answering Scenarios
- 4.3 Code Generation and Documentation
- 💼 Application of AI in SAP Business Solutions
- 5.1 Human-Machine Interaction
- 5.2 Automation and Efficiency
- 5.3 Augmented Decision Making
- 🛠 Components of AI Integration
- 6.1 Introduction to Jewel
- 6.2 Embedding AI Across SAP Portfolio
- 6.3 AI Foundation and Ecosystem
- 📊 Real-world Examples of AI Integration
- 7.1 Concur Invoice Processing
- 7.2 SAP Transportation Management
- 7.3 Just Ask in SAP Analytics Cloud
- 🚀 Future of Generative AI in SAP
- 8.1 Planned Integrations and Scenarios
- 8.2 Ethical Considerations and Compliance
- 8.3 Pre-Trained Models for Specific Domains
- 🤔 Frequently Asked Questions (FAQ)
- 9.1 Are there demo environments available for Jewel?
- 9.2 How does SAP prevent biased responses from AI?
- 9.3 Will there be pre-trained versions of Jewel for specific domains?
- 9.4 Is SAP using GPT models from OpenAI?
🤖 Introduction to SAP TechEd
Welcome to SAP TechEd! In the next 25 minutes, we'll explore how SAP TechEd is leading the way in embracing the future with cutting-edge technology. Get ready to dive into the world of artificial intelligence (AI) and SAP solutions.
📈 Embracing the Future with AI and SAP Solutions
2.1 The Role of Artificial Intelligence
Artificial Intelligence (AI) has become integral to SAP's vision of the intelligent enterprise. By infusing AI into business processes and solutions, SAP empowers organizations to unlock new levels of efficiency and innovation.
2.2 Infusing AI into Business Processes
AI relies on rich data within business processes to drive insights and automation. Through techniques like pattern detection and deep learning, AI enhances decision-making and human-machine interaction.
2.3 Understanding Generative AI
Generative AI represents a paradigm shift in AI capabilities. By leveraging pre-trained models and natural language processing, it enables non-technical users to interact with AI in unprecedented ways.
💡 Benefits of Generative AI
3.1 Accessibility for Non-Technical Users
Generative AI lowers the barrier to AI adoption by allowing users to interact with AI using natural language. This democratization of AI fosters innovation across organizations.
3.2 Broad Applicability and Pre-Training
Pre-trained models offer broad applicability across various tasks without the need for extensive retraining. This accelerates the deployment of AI solutions and streamlines workflows.
3.3 Adaptability to Specific Use Cases
While foundation models provide a starting point, customization is essential for addressing specific business needs. Techniques like Prompt engineering ensure optimal performance in diverse scenarios.
🌐 Expanding Capabilities with Generative AI
4.1 Language Translation and Summarization
Generative AI excels in tasks like summarizing large Texts and translating content across multiple languages. This versatility enhances communication and decision-making.
4.2 Question Answering Scenarios
From customer inquiries to technical support, generative AI enables efficient question answering. Users can obtain concise and Relevant information in real-time.
4.3 Code Generation and Documentation
In software development, generative AI aids in code generation, documentation, and testing. By automating repetitive tasks, developers can focus on innovation and product improvement.
💼 Application of AI in SAP Business Solutions
5.1 Human-Machine Interaction
AI transforms the way users interact with SAP solutions, offering natural language interfaces and personalized guidance. This enhances user experience and productivity.
5.2 Automation and Efficiency
By automating routine tasks and providing predictive insights, AI frees up resources for strategic decision-making and innovation. This results in greater operational efficiency and cost savings.
5.3 Augmented Decision Making
AI augments human cognition by processing vast amounts of data and providing actionable insights. This empowers users to make informed decisions and drive business growth.
🛠 Components of AI Integration
6.1 Introduction to Jewel
Jewel serves as a digital assistant integrated across the SAP solution suite, offering personalized insights and guidance. Its seamless integration enhances user experience and productivity.
6.2 Embedding AI Across SAP Portfolio
SAP embeds AI capabilities throughout its portfolio, spanning ERP, human capital management, and spend management. This comprehensive approach ensures AI adoption across diverse business functions.
6.3 AI Foundation and Ecosystem
SAP's AI foundation comprises reusable technologies and common components, supported by a rich ecosystem of partnerships and investments. This ecosystem fosters innovation and collaboration in AI development.
📊 Real-world Examples of AI Integration
7.1 Concur Invoice Processing
AI automates document processing in SAP Concur, extracting relevant information from invoices with high accuracy. This streamlines workflows and drives significant cost savings for organizations.
7.2 SAP Transportation Management
Generative AI enhances document processing in SAP Transportation Management, automating delivery node processing and improving logistics efficiency. This reduces manual errors and enhances operational agility.
7.3 Just Ask in SAP Analytics Cloud
The Just Ask feature in SAP Analytics Cloud enables natural language interaction with data models, providing Instant insights and facilitating data-driven decision-making. This empowers users to explore data intuitively and gain actionable insights.
🚀 Future of Generative AI in SAP
8.1 Planned Integrations and Scenarios
SAP continues to expand the capabilities of generative AI across its solution portfolio, enabling new use cases such as question answering, summarization, and Scheduling assistance. This roadmap ensures ongoing innovation and value delivery to customers.
8.2 Ethical Considerations and Compliance
SAP prioritizes ethical considerations in AI development, ensuring GDPR compliance and mitigating bias in AI-driven processes. This commitment to responsible AI fosters trust and transparency in SAP solutions.
8.3 Pre-Trained Models for Specific Domains
SAP offers pre-trained models tailored to specific domains such as logistics, financial management, and human capital management. These domain-specific models provide out-of-the-box functionality and accelerate AI adoption in diverse industries.
🤔 Frequently Asked Questions (FAQ)
9.1 Are there demo environments available for Jewel?
At Present, demo environments for Jewel are not available. However, SAP plans to integrate Jewel into various solutions in