Time: 2024-12-13 
Views: 748
On December 5, the 44th issue of [Decision Micro Classroom] was held by Decision and SAP experts in a live broadcast, which explained in depth the latest achievements of SAP business AI. The live broadcast was very popular and brought together SAP industry professionals from all over the world. Everyone sighed that they benefited a lot and gained a lot. They not only thanked the teacher for his wonderful sharing, but also thanked Decision for providing such a high-quality pure dry goods sharing platform, which received continuous praise and likes from the audience.
Enterprises are undergoing a major change that has not been seen in a century. Faced with a complex internal and external environment, Decision has always relied on high-quality digital services, innovative business solutions and successful implementation experience to help many corporate customers successfully achieve innovative development from strategy to execution, from transformation to implementation, and with the help of business AI, it has achieved business relevance, global operations, data reliability, and standard responsibility for global enterprises, helping corporate customers to move forward steadily in the AI era.
In the future, Decision will also continue to escort the digital transformation of enterprises with more professional and higher-quality content and services.
Friends who missed this live broadcast can review the key points of this live broadcast with us.
Guest Introduction
Lecture Summary
01 | Interpretation of SAP Business AI
02 | Application and analysis of SAP embedded AI
03 | Localized customized AI solutions
04 | AI customer workshop
Practical Information
01. New capabilities of SAP Business AI
Currently, 27,000 customers around the world are using SAP business AI solutions, and these companies are spread across multiple industries, including manufacturing, finance, retail, energy, etc. In order to continuously strengthen AI capabilities, SAP has also introduced 25 advanced large language models to provide intelligent support to customers. Currently, SAP has implemented AI applications in more than 100 embedded business scenarios, covering multiple core areas including sales, finance, supply chain, etc.
02. Overview of SAP Business AI Architecture
One of the core highlights of SAP's commercial AI architecture is Joule smart co-pilot, which covers core modules such as enterprise resource management, supply chain management, human capital management and customer relationship management. In addition, SAP also provides a wide range of embedded AI capabilities, supporting multiple business scenarios from ERP to supply chain management to customer relationship management, and even allows enterprises to customize personalized AI functions according to their own needs.
Through BTP, SAP can provide customers with integrated solutions from data management, data analysis to machine learning, artificial intelligence, etc. Whether deployed in the cloud or locally, BTP can ensure that enterprises can implement AI technology on a reliable and flexible platform to promote business development and innovation.
03.SAP AI Foundation
Generative AI Hub is the brain of AI Foundation, covering open source models, SAP self-developed models and commercial models. Knowledge graphs can help enterprises transform complex unstructured data into structured information and build a semantic network that closely connects various business contexts and key data points like the neural network of the brain. In this way, enterprises can deeply understand business logic and reduce misunderstandings and deviations of information, especially in scenarios that require highly accurate business semantics.
04. Generative AI Hub
Through the generative AI Hub, SAP provides three intelligent assistants to help enterprises realize artificial intelligence scenarios:
Business Analysis Assistant: Users only need to ask questions in natural language, and the assistant can provide detailed analysis reports, trend forecasts and other content based on existing data by combining generative experimental technology.
Knowledge Retrieval Assistant: Using enhanced retrieval generation technology, it helps enterprises quickly find relevant information by analyzing a large amount of business data and files. It is particularly suitable for dealing with complex cross-domain problems, such as financial auditing, market research and other business scenarios.
Build Code+AI Code Optimization Assistant: It can automatically generate repetitive code. For complex development needs, the AI assistant can also provide optimization suggestions. In addition, the tool also supports the process of migrating code to the cloud, helping enterprises accelerate project deployment.
05.SACGPT
SACGPT is an intelligent analysis application that combines SAP BTP platform with generative AI. Based on SAP Analytics Cloud, it realizes functions such as intelligent question and answer report generation and search insights through natural language interaction.
At the same time, SACGPT can perform intelligent analysis based on the company's existing data warehouse. By combining Few-shot Prompt technology, SACGPT can quickly understand the business needs and thinking chain of the company, so as to efficiently generate analysis results that meet the needs. In addition, the platform's architecture supports real-time data analysis and multilingual interaction, enabling global companies to quickly respond to business needs in a localized environment.
06. ERP AI business assistant based on BTP
Through the production AI Hub, enterprises can access a variety of tools and large models to achieve full-process support from data analysis to automated operations. Combined with SAP Build and process robots, enterprises can design and optimize their business processes more flexibly. At the same time, through the real-time data visualization provided by SAP Analysis Cloud, enterprises can see the current operating status more clearly and make timely adjustments through in-depth data analysis.
SAP HANA cloud's vector engine plays an important role in this process. It can deeply integrate industry knowledge with historical data. Using big data and machine learning algorithms, HANA cloud provides enterprises with stronger analytical capabilities, no longer relying solely on past experience or intuition. Instead, scientific decisions are made through real-time data analysis.
07. Example of using generative AI
Cloud migration is usually accompanied by compatibility issues and API change challenges, and the introduction of AI technology can greatly improve development efficiency. By intervening in embedded Eclipse run tests, cockpit developers can quickly identify incompatible codes and discover potential migration problems in a timely manner. At the same time, generative AI can provide developers with intelligent code suggestions, help replace unreleased APIs with SAP's officially released APIs, and automatically fix problems that occur during the migration process.
08. Example of using generative AI
ISLM is a framework designed for managing and running AI and machine learning models, especially for SAP S/4 HANA and other applications. ISLM not only supports the full life cycle management of machine learning models, but also includes training verification, deployment and monitoring, and supports seamless integration of ERP code. Developers can directly call the prediction function of machine learning models in ERP programs, embed AI into existing business logic, and improve the efficiency of intelligent and effective decision-making. In addition, ISLM can also work with SAP AI Core services and other external platforms, providing enterprises with a wider range of technology options.
09. SAP Business AI Advantages
SAP has collected 250 million ABAP development codes and developed a set of exclusive large language models for ERP code development, especially ABAP and CDS development tasks. Through the Joule platform, SAP provides developers with a series of practical functions, including code interpretation, code completion, unit test generation, and code review. These functions are directly integrated into the SAP development tool ABAP Development Tool, allowing developers to quickly apply AI technology in a familiar environment.
10. BTP + GenAI Three types of customer interaction workshops
In order to help enterprises better understand and apply advanced AI technologies, SAP has launched a series of hierarchical customer interaction workshops. Among them, AI Discovery Workshop is the focus of the second phase, aiming to promote the actual implementation of generative AI in enterprises. In this phase, SAP works closely with customers. Through in-depth analysis and discussion, SAP can help enterprises identify the most suitable pilot application scenarios and lay a solid foundation for subsequent development and deployment. Participants in the workshop usually include business users IT, experts and management representatives to ensure the best balance between technology and business needs.
11. SAP Business AI Application Scenario Exploration Workshop
SAP Business AI Application Scenario Exploration Workshop is an efficient and systematic method, and the process is divided into five stages.
① Exploration stage: The SAP team works closely with customers to quickly screen out potential AI application scenarios by deeply understanding their business needs and challenges, ensuring that the next work can focus on the application direction with the greatest potential.
② Discovery stage: By collecting customer data and specific needs, analyzing existing processes, and evaluating existing technologies and infrastructure, SAP helps customers conduct comprehensive analysis in multiple dimensions to ensure the feasibility of application scenarios.
③ Design stage: The SAP team combines business needs and technical elements to provide customers with detailed technical architecture solutions, and conducts preliminary tests in the actual environment to ensure the feasibility and application effect of the solution.
④ Delivery stage: Assist customers to complete the development and initial deployment of the solution, and assist customers with necessary employee training. Ensure that internal employees can operate the new system smoothly and maximize its efficiency.
⑤ Operation and expansion stage: The SAP team will closely monitor the actual operation effect of the solution, collect feedback for system optimization and function expansion, and help customers fully promote applications within the enterprise.
12.SAP Business AI Application Scenario Exploration Seminar
At the end of the workshop, the SAP team will help customers develop a clear follow-up action plan to ensure the smooth progress of the project. First, prioritize the four to five most important action items from the discussion and use the value and complexity matrix to quickly evaluate the priority of the plan. Then, use a standardized action form to clarify the specific content, completion time and responsible person of each task, providing a clear path and guarantee for subsequent project execution.
13. Joule Agents
Joule Agents gradually covers multiple business areas from finance, human resource management to supply chain and customer experience, providing enterprises with integrated intelligent solutions. Taking the financial field as an example, Joule can monitor accounts, analyze data, automatically issue reminders and even generate reports. By introducing Agent AI, SAP not only makes AI technology more in line with the actual needs of enterprises, but also provides users with an intuitive and easy-to-use interface.
14. Chinese SAP AI learning content is now online
Decision Consulting Academy and SAP Learning Hub official learning platform have taken the lead in launching Chinese SAP AI learning content, covering SAP Artificial Intelligence product portfolio, SAP AI Core, SAP AI Launchpad and other model training operations and model derivation operations.
In the future, Decision will also bring more course sharing to SAP industry professionals. Follow Decision’s official account to get the latest news of [Decision Micro Classroom] and get more event information!
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