
Explore narrow ai, known as vqa, designed for specific tasks, and compare it with strong ai, or AGI, capable of broad understanding and learning across diverse contexts.
Explore symbolic AI with symbols, rules, and inference engines that diagnose diseases from symptoms using a knowledge base. Contrast narrow AI and AGI with probabilistic machine learning and uncertainty.
Train a model on labeled SAP data to map inputs to outputs, enabling automated decisions such as predicting on-time invoice payments and classifying tickets.
Discover SAP's Jewel AI assistant, embedded across the cloud portfolio, that sources data from SAP and external sources to deliver context-rich insights and personalized support for all business areas.
Explore how generative AI in SAP enables automated procurement, intelligent inventory management, predictive material planning, and intelligent warehouse optimization across MM, WM, and EWM.
Discover how generative AI in SAP SuccessFactors transforms HR by automating candidate sourcing, resume screening, interview scheduling, onboarding, learning paths, real-time support, performance management, and workforce planning.
Explore how generative AI integrates with SAP ABAP to generate synthetic data, personalize interfaces, enable natural language processing, automate code, and support predictive analytics and anomaly detection.
Explore how generative AI in SAP enhances production planning with demand forecasting, production scheduling, predictive maintenance, quality control, process optimization, and collaborative production planning.
Explore how generative ai enhances SAP quality management with synthetic data, anomaly detection, predictive quality analytics, automated reports, supplier risk, root cause analysis, dynamic inspection planning, alerts, and continuous improvement.
Drive value in SAP sales and distribution by applying generative AI to sales forecasting and demand planning, pricing optimization, customer segmentation, proposals, chat bots, sales performance analytics, and inventory management.
Explore generative ai use cases in sap transport management, such as optimized route planning, demand driven planning, real time shipment visibility, and automated documentation.
Embark on a specialized journey through the integration of Generative AI in SAP, exploring its transformative potential within various SAP modules. This course not only introduces participants to the nuances of Generative AI but also provides a comprehensive understanding of foundational concepts in artificial intelligence (AI).
Key Areas Covered:
Intelligence vs Artificial intelligence
Narrow Al and Strong Al
Symbolic and Probabilistic Al
Probabilistic Al
Supervised Learning
Unsupervised Learning
Self Supervised Learning
Foundation level, LLM, Generative AI
Impact of Al on Jobs
Economy by AI
Meet New SAP AI Assistant SAP joule
Possible use cases - Generative Al in MM WM EWM
Possible use cases - Generative Al in SAP SuccessFactors
Possible use cases - Generative Al in SAP ABAP
Possible use cases - Generative Al in SAP Production Planning
Possible use cases - Generative Al in SAP Quality Management
Possible use cases - Generative Al in SAP Sales and Distribution
Possible use cases - Generative Al in SAP Transport Management
Through these use cases, participants will gain insights into how Generative AI can revolutionize processes, enhance efficiency, and optimize outcomes within the SAP environment. Whether you're an SAP professional or an AI enthusiast, this course equips you with the knowledge and skills to navigate the intersection of Generative AI and SAP with confidence.
Disclaimer:
SAP is a registered trademark of SAP AG in Germany and many other countries. I am NOT associated with SAP.