42 docs tagged with "Microsoft Azure"

The Agent2Agent (A2A) protocol facilitates communication between independent AI agents. SAP contributes to the A2A specification via Joule and Open Resource Discovery (ORD).

Agents for Structured Data leverage advanced AI capabilities to transform how organizations interact with and derive insights from large quantities of tabular and other structured data. By integrating natural language processing, federated data access, and real-time analytics, these applications enable seamless decision-making and operational efficiency across diverse industries.

This is an overview of AI agents and their role in enterprise automation, focusing on SAP's Project Agent Builder (PAB) and its support for content-based and code-based agent development. It explores the technical components, design strategies, and evaluation criteria for deploying AI agents effectively within the SAP ecosystem.

Learn how to architect multi-region resiliency for SAP solutions such to ensure high availability and business continuity. This guide covers strategies, best practices, and sample implementations for a robust, compliant multi-region setup with failover and disaster recovery capabilities.

Enhance SAP BTP applications using Generative AI by integrating custom prompts for Foundation Models or LLMs. This allows natural language processing to craft AI responses tailored to specific tasks, enabling intelligent user interactions and achieving application objectives.

Sample application for building event-driven architecture application with Microsoft Azure IoT as event source. Assess the critical events and publish to SAP BTP for validation and processing the business processes operations in SAP S/4HANA.

Multi-Region Manager (MRM) is an open-source CAP-based application that orchestrates multi-region processes like replication topology, failover management, load balancer control, and monitoring. It enables seamless failover between regions, ensuring business continuity and service availability.

There is a cost to maintain multi-region setup which is inherent due to it's nature of having to setup duplicate services. However, there are some ways to reduce this further, which are discussed here.

The purpose of Data Products in the context of SAP is the efficient and standardized sharing and consumption of data across applications and domains. It helps ensure high-quality metadata, is optimized for intensive reads, and describes the lineage and interfaces available for integration.

Data synchronization in multi-region setups ensures consistency across locations. SAP HANA Cloud with Smart Data Access (SDA) enables efficient data replication and resiliency, providing real-time updates, failover capabilities, and robust data availability across regions.

Understand key challenges, key design patterns and key considerations from platform, technical services,when building event-driven architecture based applications.

Explore the reference architecture for deploying SAP Integration Suite - Edge Integration Cell on Azure. Learn about the required resources, and key considerations for setup and implementation on Azure.

Discover reference architectures for deploying SAP Integration Suite - Edge Integration Cell on hyperscalers. Access architecture diagrams and key resources to understand its setup and implementation.

Semantic search using embeddings converts data into dense numeric vectors to capture meanings. Stored in vector databases, these vectors enable efficient similarity searches with cosine similarity, improving search relevance and user experience by focusing on meaning over exact keywords.

SAP Build Work Zone offers a comprehensive solution architecture designed to elevate user productivity and engagement by providing a digital workplace platform that supports single-sign-on. This innovative approach centralizes access to essential business applications, processes, information, and communication, serving as a unified entry point accessible from desktop or mobile devices. It harmonizes business content, applications, workflows, and processes across your landscape, ensuring a seamless integration and interaction within your digital ecosystem.

Guidance for setting up SAP Task Center service on SAP BTP. Learn about the architecture components and flow in this architecture.

Event synchronization in multi-region setups is enabled by SAP's Advanced Event Mesh (AEM) with Dynamic Message Routing (DMR), ensuring real-time, resilient, and scalable event processing across regions, maintaining continuity and high availability during infrastructure failures.

SAP Datasphere's data integration architectures that harmonizes SAP and non-SAP data using data fabric architecture helps business experts to make data-driven decisions with unprecedented impact.

The SAP Federated Machine Learning Python library (FedML) applies the data federation architecture of SAP Datasphere for intelligently sourcing SAP and non-SAP data for Machine Learning experiments, run on any Machine Learning platform, thereby removing the need for replication or data movement. By abstracting data connection, data discovery, data loading (for all ML platforms), model training, model deployment, and inferencing (for hyperscaler machine learning platforms), the FedML library offers end-to-end integration with just a few lines of code.

FedML-Azure provides end-to-end integraton for training models in Azure Machine Learning service, using live business data from SAP systems and eliminates the need for duplicating the data.

Harness Generative AI on SAP BTP using a CAP-based backend with SAP HANA Cloud's Vector Engine for similarity search. The Generative AI Hub allows seamless integration of LLMs, supporting RAG and other advanced patterns. Compatible with Cloud Foundry and Kyma, it optimizes AI-driven app development.

Geographic redundancy ensures continuous service availability by distributing data and resources across multiple locations. It minimizes downtime, enables disaster recovery, and synchronizes critical components across regions for SAP BTP services and applications.

This document provides sample implementations using Azure Traffic Manager and AWS Route 53 for high availability and disaster recovery (HA/DR) of SAP services. It includes stateless and stateful setups for SAP Cloud Integration, SAP Work Zone, and SAP HANA Cloud with multi-region DR solutions.

Insight Apps are delivered in SAP Business Data Cloud as a prebuilt set of artifacts, from Data Products, to models, to stories in SAP Analytics Cloud. They allow you to configure your entire environment simply by subscribing.

SAP Build Process Automation is a no-code/low-code solution for automating business processes. Integrate SAP and non-SAP systems across cloud and hybrid landscapes with features like workflow management, robotic process automation, and predefined content. Streamline tasks such as scheduling agreements, job requisitions, and data management, enhancing productivity and reducing manual effort.

Data from Microsoft Fabric analytics platform can be seamlessly integrated and harmonized with both SAP and non-SAP data using SAP Datasphere's robust data fabric architecture. This architecture facilitates the unification of disparate data sources, enabling comprehensive data modeling and analytics.

Understanding Event-Driven Architecture, Core Concepts and Building Blocks.

Load balancers enhance reliability, scalability, and fault tolerance in multi-region SAP BTP setups by distributing traffic intelligently. They ensure optimal performance with real-time failover, health checks, and advanced features, providing seamless operations across diverse geographies.

This reference architecture demonstrates a common use case for integrating various types of data—structured, semi-structured, and unstructured—into SAP HANA Cloud, utilizing the powerful features of SAP HANA Cloud Data Lake. By implementing this architecture, businesses can meet the challenge of providing a modern data foundation for intelligent data applications and provide cost-effective data management and analytics across the enterprise.

Modernize SAP Business Warehouse (BW) with SAP Business Data Cloud (BDC) to unlock real-time analytics, AI-driven insights, and scalable cloud-native architecture. Leverage SAP Datasphere, SAP Analytics Cloud, and data products to transition seamlessly while preserving existing investments. Discover structured migration pathways, advanced AI/ML capabilities, and unified data management for future-ready enterprise data strategies.

Learn how and why Multi-region resiliency ensures applications remain functional during regional outages by leveraging geographically distributed data centers.

Guidance for developing applications based on Event-Driven Architecture (EDA) patterns and Cloud Application Programming (CAP) framework.

Enhance LLM control with Retrieval Augmented Generation (RAG), which integrates external data to reduce hallucinations and improve accuracy across multiple domains without the need for fine-tuning. This approach combines factual data with language knowledge for increased precision.

SAP and Databricks have partnered to integrate SAP data with Databricks AI and analytics platform, allowing businesses to leverage SAP data for AI and machine learning applications. This partnership simplifies data access and eliminates the need for complex ETL processes, enabling real-time analytics and AI-driven decision-making.

The reference architecture for Esri running on SAP HANA Cloud as a geodatabase represents a powerful integration of geospatial technology with enterprise-grade cloud infrastructure. This enhances geospatial capabilities by allowing organizations to store, process, and analyze spatial data directly within SAP HANA Cloud, utilizing its multimodel processing and built-in spatial engine. The integration provides real-time access to both SAP and non-SAP data, breaking down data silos and enabling near-instant insights, which is crucial for industries like utilities during natural disasters.

Secure connectivity between SAP BTP and hyperscaler workloads with SAP Private Link service. Keep sensitive data protected within private networks, avoid public internet exposure, and reduce security risks. Ensure compliance, minimize attack surfaces, and enable seamless communication across cloud environments

Security is crucial for enterprise applications and in the multi-region scenario, the security setup varies from service to service.

Overview for Single and Multi-region resiliency

How the single region resiliency works. What are the benefits and drawbacks.

Discover SAP BDC and S/4HANA integration with SAP-managed Data Products and Insight Apps for advanced analytics. Learn how to produce, activate, and visualize data products using SAP Datasphere and SAP Analytics Cloud. Explore pre-built Insight Apps for actionable intelligence across Core Enterprise, People, Spend, Customer, and Supply Chain Analytics. Maximize business insights with SAP's trusted data foundation and lifecycle management. Optimize decision-making with SAP's seamless architecture.

SAP Business Data Cloud (BDC) unifies SAP and non-SAP data, enabling advanced analytics, governance, and AI-driven insights. With tools like SAP Datasphere, SAP Analytics Cloud, and Databricks integration, SAP BDC addresses data silos, improves data quality, and supports real-time processing. Modernize legacy systems, create reusable data products, and leverage a unified semantic model for scalable, future-ready enterprise data strategies.

Designing and operating cloud based solutions in a multi-regional setup are technically advanced tasks. The solution and application design, usage of different network providers and last but not least the geographical placement of services have an impact on the overall performance.