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Correct logical sequence for adopting and scaling SAP Business AI initiatives: Re-imagine Critical Use Cases. Create Proof of Concept. Deploy & Run.

four phases of SAP Business AI adoption or focus areas in SAP's Business AI journey or framework: Discover and Prepare - Identify AI-relevant use cases, prepare org, assess data readiness and skills, set governance and responsible AI principles. Explore and Plan - Define KPIs and compliance frameworks. Move and Deploy - Train models (where applicable) and integrate with business processes. Run and Innovate - Monitor AI performance and business KPIs. Extend innovation using generative AI, predictive analytics, etc. Innovate with partner ecosystems and custom AI apps.

Hyperscaler complexities that you must deal with many complexities, such as: chosen the wrong model. how does that integrate into my SAP landscape?. replicate data. business authorizations. integrate that with my identity management.

Partner-Driven Technology Strategy: Empowering Innovation with AI. Embed AI. Train AI models on customer-specific data. Orchestrate AI experiences seamlessly through Joule,. Leverage our partner ecosystem.

SAP Business AI – Key Differentiators. Embedded AI. Joule - our unified Co-pilot. AI Foundation. Ecosystem of Innovation. Trusted AI Partner.

Joule revolutionizes how you interact with SAP business systems, making every touchpoint count and every task simpler. Faster Work. Smarter Insights. Better outcomes. Full Control.

Using natural language prompts, Joule provides: Seamless navigation to different applications to help you quickly complete tasks. Concise summaries of help content and multiple repositories to effectively address your question in natural language. Valuable insights about business objects, saving you time and surfacing insight more quickly.

Joule can also assist ABAP developers. Using Joule with ABAP development we can: generate ABAP business objects. complete and explain code. create unit tests.

Challenges and benefits of Artificial Intelligence in Cloud ERP can be divided into two main categories: Process-related decision optimization. Productivity and efficiency.

AI Ethics: follow UNESCO’s recommendation on the ethics of AI. respect applicable laws and regulations including the EU AI Act or similar laws in other regions and countries as they become available. observe SAP Global AI Ethics policy which is mandatory for everyone at SAP that is building or involved in the creation of AI.

SAP Signavio AI assisted process recommender key benefits: Instant recommendations based on best practices. Accelerated process model design. No need for consulting-heavy services to define the first process draft to start the modelling activity.

SAP Signavio solutions, AI-assisted performance Indicators Recommender Key benefits include: Instant recommendations based on best practices. Simple connection between business problem, affected process and relevant metric to be measured. Self-service approach to define initial process monitoring framework.

SAP Signavio’s process AI capabilities can help: Uncover insights on your current process landscape that would otherwise be challenging to discover. Get instant, tailored recommendations on where to go next, drawing upon thousands of best practices. Empower your teams by leveraging natural language to solve your most complex process issues.

SAP LeanIX: strategy & transformation: [Object], Platform, Initiative. Business Architecture: [Organization], business capability, business context. Application and Data Architecture: [Data object], application interface. Technical Architecture: [Provider], IT component, Tech category.

All about the following: Inventory AI Prompt: Enhanced decision making based on more complete data. AI-assisted Text: Improved application owner productivity, and Streamline the process of creating informative descriptions, saving users time and effort. AI-generated Context: Increased to-do assignee productivity. AI-supported Translations: Expanded product accessibility, and Save time and effort while also ensuring consistency across the translated content.

The AI capabilities are divided into three areas: Joule. Embedded AI Capabilities. AI Foundation on SAP BTP.

Simplify Extension Building in S/4HANA and SAP BTP: guided wizard. on-stack on SAP S4/HANA and sided by side extension in BTP. accelerate extension creation.

SAP Build Code capabilities: joule provides code snippets, including SAP BTP and S4HANA guidance. refactor CAP projects.

Generative AI Enhancements In ABAP Cloud: Generate RAP business objects and service. Generate unit tests for ABAP Classes. Explain existing code (including legacy code). helps with code snippets.

Generative AI capabilities in SAP Build Process Automation: document information extraction. AI-driven recommendations. artifacts generation.

AI Business Patterns: Digital Assistant. Enterpise Automation. Insights Apps.

Transitioning to a hyperscaler can help, but may still require dealing with : integration. security complexities.

When you choose SAP BTP as your core platform for building with AI, you can accomplish the following: Increase ROI from your existing SAP BTP investment. Choose Flexibility by choosing the right LLM for specific use cases. Reduce the complexity of your landscape by leaning into the data gravity of your business applications connected by SAP BTP. Enhance security by gaining visibility and control over your AI usage. Leverage AI sustainably without managing the sprawl of AI-specific software.

Generative AI three major hyperscalers: Extension of embedded AI. Custom application development. Secure and deep data access.

For RISE with SAP customers, 3 ways in which we bring this differentiation: Joule as the product surface for SAP S/4HANA Cloud Private Edition. Custom AI scenarios. Out of the box Premium AI scenarios.

SAP BTP can assist with productivity and efficiency enhancements with: Integration Generator: uses integration recommender and generator to accelerate developer efficiency by using pre-built integration content. ABAP BO Generator: generates SAP Business Objects, services, and tests with generative AI . Code Generator: boosts development productivity in Application Development . Process Automation: efficiently builds business automated tasks using executable process AI.