11 - 2025 - The World Management

05 November

New Agentic Capabilities on SAP BTP Supercharge Developers for What’s Next

This week at SAP TechEd Berlin, we released new innovations that deliver on our promise to make SAP more open and empower developers to move faster and smarter with the tools, languages, and frameworks of their choice.

Build custom agents on the most context-rich agentic platform

I’m excited to share the ability to build custom agents in Joule Studio will be generally available in December. New capabilities include AI-assisted agent design, system-triggered agents, extensibility of SAP-delivered Joule Agents, centralized enterprise-grade agent monitoring, support for Agent-to-Agent (A2A) protocol, and support for Model Context Protocol (MCP). Read our in-depth announcement blog and watch the demo to learn more.

“Joule Studio’s agent builder connects SAP analytics with merchandising systems, powering Accenture’s Optisell agent to surface at‑risk inventory, recommend pricing actions, and simplify merchandise alert configuration — all without heavy custom development.”

Catherine Nguyen, Global Lead for SAP Business Group AI Strategy and Adoption, Accenture

Product screenshot: SAP Build, Joule Studio, Restocking Agent

For developers building pro-code agents, SAP Business Technology Platform (SAP BTP) offers comprehensive support for popular open-source frameworks, like Crew.AI and LangGraph, and provides end-to-end identity, authorization, governance, and integration capabilities.

MCP support for SAP HANA Cloud is now available, providing with direct access to rich multi-model engines. This allows agents to be grounded in full data context: navigating relationships across customers and suppliers, understanding geographic dependencies through spatial data, and performing semantic searches through vector embeddings — all within a single in-memory engine.

Additionally, SAP HANA Cloud knowledge graph engine can now automatically generate knowledge graphs from SAP HANA Cloud metadata. What used to take weeks of manual modeling can now happen automatically in minutes.

We’re also enabling agentic memory in SAP HANA Cloud. With long-term memory, AI agents can persist context across long-running sessions and memorize past input and decisions, just like humans do, to become continuously smarter.

I’m excited to share several AI Foundation innovations, including our first enterprise relational foundation model (RPT), SAP-RPT-1, accompanied by a no-code testing playground environment and prompt optimizer service. New capabilities are continuously added to our generative AI hub, empowering developers to experiment with leading models and orchestration tools and scale AI development and productization across SAP and non-SAP landscapes. Read more about these announcements here.

Vibe on SAP Build using the tools of your choice

New local MCP servers for SAP Build give developers the ability to use agentic tools for SAP Build development and preferred code assistants, such as Cursor, Windsurf, Claude Code, Cline, and OpenAI Codex — all while maintaining enterprise-grade governance and clean-core alignment.

An SAP Build extension pack for Visual Studio (VS) Code is now available to simplify development of CAP, Fiori, UI5, and mobile applications. This makes it easier for VS Code developers to build faster and deploy apps on SAP BTP. Looking ahead, we will publish our extensions on the Open VSX Registry to simplify the onboarding of these tools and provide similar native development experiences on other integrated developer environments (IDEs).

Increase velocity with SAP Joule for Developers

SAP Joule for Developers, the best code assistant for SAP development, empowers developers of all skill levels to build more efficiently by leveraging comprehensive, AI-infused developer tools to deliver precise, contextualized outcomes powered by purpose-built, SAP-centric AI models. This frees-up time to be more productive, creative, and proficient in accelerating ABAP, Java, JavaScript, and visual tool-based application development and automation of SAP processes.

New enhancements to SAP Joule for Developers, such as ABAP AI-assisted development within SAP Cloud ERP Private and AI-driven custom code migration capabilities, help developers modernize legacy systems and meet enterprise-grade governance and security requirements. These improvements also boost productivity, enhance code quality, and support cloud transformation goals.

Developers working in SAP Build for digital workspaces can now use AI-assisted content creation to quickly generate comments, create workspace content, and summarize documents. AI responses can also draw directly from user-specific folders and workspace content, providing users with trusted insights tailored to their roles, while maintaining compliance and secure role-based document grounding.

Looking ahead, new ABAP large language models (LLMs) trained on ABAP code and specialized for ABAP development will be released next year.

Connect everything to boost productivity

Developers build the bridges that keep businesses running. We’re making that work easier and faster with SAP Integration Suite. The following innovations make API and agent-driven automation easier, ensure reliable end-to-end security with real-time monitoring, and boost developer productivity.

We are continuing to embed AI capabilities directly into SAP Integration Suite. API management will now automatically provide targeted recommendations and intelligent healing to resolve common API anomalies such as error spikes, latency surges, or abnormal traffic patterns. Developers can also ask Joule to about the most used APIs to gain deep API insights and understand usage patterns.

Product screenshot: SAP Integration Suite

MCP Gateway support will enable customers to expose custom APIs and integration flows that can be consumed by AI agents. This feature introduces the ability for customers to enrich custom agents built in Joule Studio or extend Joule Agents by integrating data from third-party and legacy SAP systems, composed as MCP tools for smooth agentic consumption. This approach standardizes access, centralizes governance and security, and simplifies discoverability in the SAP Developer Center.

To jumpstart integration projects, you can access hundreds of out-of-the-box integration adapters as well as pre-built API, event, and integration content on SAP Business Accelerator Hub.

Gain security and operations built in, not bolted on

SAP BTP provides developers with a unified environment to manage applications, secure data, and scale solutions seamlessly across SAP and third-party systems. With core centralized application lifecycle, interoperability, security, and administration capabilities, developers can easily and quickly resolve errors and boost team productivity. Read the full list of enhancements in the SAP TechEd Innovation Guide.

Explore at your own pace

If you missed attending SAP TechEd in person or virtually, please be sure to read the full list of announcements in the Innovation Guide and watch sessions on-demand.

Wherever you’re at in your journey, there are easy ways to get started:

Visit sap.com/btp to start a free trial of SAP BTP
Explore SAP Learning Journeys for SAP BTP and new SAP BTP use cases
Register for our upcoming Joule Studio Agent Builder webinar on December 9
Read more in “Introducing SAP Snowflake, New Data Fabric Innovations for SAP Business Data Cloud and SAP HANA Cloud“

Michael Ameling is general manager and chief product officer of Business Technology Platform and a member of the Extended Board of SAP SE.

05 November

BUSINESS NEWS

Introducing SAP Snowflake, New Data Fabric Innovations for SAP Business Data Cloud and SAP HANA Cloud

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For decades, data has been the backbone of innovation. And in today’s AI-enabled economy, its role has never been more vital. Now, data must be delivered in a way that both people and AI agents can understand and act on with confidence.

At SAP, we believe in creating an ecosystem that simplifies your data landscape and preserves the mission-critical business context of all of your data. This is made possible with a business data fabric.

This architectural approach marks the culmination of decades of progress — from cubes to warehouses to lakehouses — now converging toward a business data fabric architecture that brings the true meaning of data together for AI projects to succeed at scale.

Simplify your data landscape with a business data fabric

Earlier this year, we announced SAP Business Data Cloud (SAP BDC), making end-to-end business data fabric capabilities available for everyone that relies on mission-critical SAP data, including fully managed SAP Databricks.

This week at SAP TechEd Berlin, we announced the SAP Snowflake solution extension for SAP BDC that brings Snowflake’s data and AI capabilities directly to SAP customers.

Together with SAP BDC, this provides organizations with the flexibility to choose the right compute and storage for every data and AI workload — extending their business data fabric while maintaining governance, interoperability, and semantics. As a solution extension, SAP Snowflake will be available directly through SAP, providing a simplified operational experience for customers.

For many customers, integrating data across multi-cloud and hybrid environments adds complexity, especially when bringing transactional and analytical workloads together. Too often, that process comes with a hidden data tax: it strips away the business context and semantics that give data its meaning.

We recently announced SAP BDC Connect, a capability that gives customers bi-directional, zero copy data and metadata sharing in SAP Business Data Cloud with their existing Databricks and Google Cloud environments. Today, we are excited to announce SAP BDC Connect for Snowflake, making it dramatically easier for customers to harmonize and govern mission-critical data wherever it resides.

Connect all your data

As organizations simplify their data landscapes, building a trusted data foundation rooted in business context has become a top priority. A global survey of 1,200 business and technology leaders found that nearly half are heavily investing more in harmonizing business data, underscoring the growing importance of using data built on industry standards.

To help accelerate this progress, SAP delivers fully managed data products as a core component of SAP Business Data Cloud, now with new innovations that expand coverage and connectivity:

Data product studio: A new capability in SAP BDC allows users to create, model, and manage reusable data products using both visual tools and SQL-based transformations from a single workspace. Users can define schema, lineage, and logic to blend SAP and non-SAP data into governed assets with full version control and lifecycle management. It is a simpler way to cross-pollinate data products across lines of business and ensure a consistent definition of data across your business data fabric.
Additional SAP data products: New data products are now available through SAP BDC, spanning SAP Cloud ERP, SAP SuccessFactors, sustainability, and customer experience solutions and more — bringing even broader coverage across business domains.
Bi-directional data sharing: We announced data sharing between SAP BDC and SAP HANA Cloud, unlocking the value of data across both transactional and analytical workloads. Customers can reuse existing objects, such as SAP HANA calculation views, directly in SAP BDC — preserving business logic, KPIs, and governance as they extend models across their business data fabric.

Amplify your agents and applications with an AI database

We’re expanding SAP HANA Cloud with new capabilities that make it the AI database for building agents and intelligent applications, helping developers connect and understand all types of data: structured, spatial, graph, vector embeddings, and more, all within a single in-memory engine.

Today, we’re expanding these multi-model capabilities with three major innovations that make it easier to build agentic AI experiences.

Expanded knowledge graph capabilities to enable accurate agents: SAP HANA Cloud knowledge graph engine will now enable customers to automatically generate knowledge graphs from SAP HANA Cloud metadata. The automated graph will include tables and columns and can demonstrate data relationships. These knowledge graphs are customizable and composable, so developers can review data mapping, modify the graph structure, execute a semantic search, and use it to ground agents with the business context it needs to reason accurately.
Model Context Protocol (MCP) support for SAP HANA Cloud: We’re expanding SAP HANA Cloud with Model Context Protocol (MCP) support, giving Joule Agents access to rich multi-model engines in SAP HANA Cloud. While SQL remains the default database standard, MCP allows Joule Agents to go beyond rows and columns to interface with unstructured data — understanding relationships, locations, and meaning across all data types. In practice, that means Joule Agents can navigate relationships between customers and suppliers, analyze geographic dependencies through spatial data, and perform semantic searches through vector embeddings.
Tabular AI capabilities: This integration with SAP AI Core allows users to run AI workloads such as forecasting, anomaly detection, and predictive modeling directly on structured business data from SAP HANA Cloud. Along with ready-to-use tabular AI models, customers also gain access to the SAP-RPT-1 AI model, a new transformer-based foundation model. Embedded natively in SAP HANA Cloud, this delivers predictions without task-specific pre-training, enabling developers to use simple SQL procedures to bring AI closer to their SAP data and generate semantically rich outputs.

Get started today

A business data fabric provides a deeply integrated ecosystem for all your data. And with SAP Business Data Cloud and SAP HANA Cloud, you have a fully managed solution for every data and AI workload that ensures business context remains intact across your data landscape.

Irfan Khan is president and chief product officer of SAP Data and Analytics.

05 November

BUSINESS NEWS

SAP Expands Physical AI Partnerships and Demonstrates Success of New Robotics Pilots

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New collaborations with leading robotics companies and enterprise partners accelerate autonomous operations across manufacturing, logistics, and field services.

Early results in proof-of-concept applications of SAP’s robotics initiative, Project Embodied AI, demonstrate up to 50 percent reductions in unplanned downtime, up to 25 percent improvement in productivity, and significant reductions in operational errors across manufacturing, warehouse automation, and quality inspection.

These results are among the reasons why SAP has expanded its Embodied AI ecosystem through partnerships with leading robotics companies and robotic enablement partners, as announced this week at SAP TechEd. This builds on the recently announced collaboration with NEURA Robotics and NVIDIA to drive the future of physical AI.

The Embodied AI initiative extends the impact of SAP Business AI into physical operations by making robots cognitive: able to autonomously execute complex tasks while understanding the broader business context in which they work. This empowers enterprises to faster adapt to changing operational environments.

SAP is uniquely positioned to deliver these innovations because of its decades of experience with business applications deeply integrated into the processes that power the modern enterprise. This allows SAP customers to integrate robotics into the same business functions seamlessly, in a way no other company can. The result of our new robotics partnerships includes new proof-of-concept applications of embodied AI that demonstrate the business value and return on investment of our approach.

Cutting-edge experiments demonstrate measurable productivity gains

BITZER, a leading name in refrigeration, air conditioning, and heat pump technology, teamed up with SAP and NEURA Robotics to revolutionize warehouse logistics. In a recent pilot proof-of-concept, BITZER’s warehouse became a testing ground for one of Europe’s most advanced humanoid robot, 4NE1, which was able to perform pick-tasks on its own in real time.

The tasks are selected by embodied AI agents. The process also integrates SAP’s business logic from SAP S/4HANA for extended warehouse management through SAP Business Technology Platform (SAP BTP). Prior to its warehouse deployment, 4NE1 was trained virtually using NVIDIA’s Isaac Sim software. This ensured the robot was fully prepared for real-world operations. By integrating embodied AI into warehouse operations, BITZER could reach 24/7 utilization and a high level of responsiveness.

The technology can add to human expertise, stepping in during demand fluctuations and peak periods. It also complements regular shifts with flexible and scalable support. This ensures operations remain agile and efficient, even under varying workloads. Thanks to a single source of truth, orders can be expanded or cancelled in near real time, as robots execute changes almost instantly. This improves reaction times and enables BITZER to maintain high service levels while optimizing the use of resources.

“We are excited to join the Embodied AI initiative with SAP and NEURA. We believe this collaboration will enhance our operational efficiency and drive innovation in our processes.”

Christian Stenzel, Vice President of Corporate Organization and IT, BITZER

Transforming warehouse operations at Sartorius

Imagine stepping into a warehouse in which intelligent machines work side-by-side with humans. The first proof of concept for embodied AI at Sartorius shows it is possible and marks a milestone in the journey to next-level logistics.

“So far, like many others, our focus was on fixed automation, in which specialized equipment handles only a single task. Now we’re making automation intelligent, and far more dynamic, to help us navigate a fast-moving world.”

Steffen Dietz, Manager of Business Process Management in Operations and Supply Chain, Sartorius

The proof of concept, also delivered through the partnership with SAP and NEURA Robotics, demonstrates how cognitive robots can support manual workstations in an advanced warehouse environment. Here, the humanoid robot 4NE1 was trained with Sartorius products in NEURA Robotics’ lab. The solution builds on an SAP S/4HANA migration and SAP Extended Warehouse Management (SAP EWM) rollout in May, which established the foundation for leveraging the latest capabilities from SAP.

The result boosts efficiency and enhances operational resilience. “We’re really happy to help spearhead this new age together with SAP and NEURA,” Steffen Dietz, manager of Business Process Management in Operations and Supply Chain at Sartorius, shared.

Optimizing automotive production at Martur Fompak

Martur Fompak, a global leader in automotive seating systems, teamed up with Humanoid and SAP to explore how humanoid robots could transform field operations workflows.

Watch the video: SAP x Martur Fompak x Humanoid

Humanoid offers robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

Together the team is testing how cognitive robotics can support picking and packing operations at the company’s 30 production plants across various continents and countries.

The early exploration connects Humanoid modular robots with SAP solutions to execute workflows such as component retrieval, tray loading, and precise placement into production containers. SAP’s embodied AI agents provide context awareness around production orders and component variants.

“SAP’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation.”

Artem Sokolov, Founder and CEO, Humanoid

Initial findings demonstrate the value in automating repetitive and ergonomically demanding tasks, such as unpacking parts, handling trays, or supporting kitting processes. These experiments will be the foundation for a broader transformation in which humanoid robots participate in SAP-driven manufacturing environments and logistics processes.

Robotics company partners

Building upon these successes, SAP announced the following additional partnerships:

AgiBot

Agibot creates general-purpose embodied robot products and an application ecosystem. The company delivers a complete product portfolio and deploy across all major application scenarios.

“Our SAP partnership transforms industrial automation by combining humanoid capabilities with enterprise intelligence that understands business context,” said Peng Zhihui, founder and CEO of AgiBot.

ANYbotics

ANYbotics provides a full-stack autonomous inspection solution that combines autonomous robotics with inspection intelligence.

“Integrating this continuous flow of inspection intelligence with SAP makes operations not only autonomous but truly intelligent, where issues are predicted, understood, and prevented before they affect production,” said Dr. Péter Fankhauser, CEO and co-founder of ANYbotics.

Watch the Anybotics robotic AI solution video.

Booster Robotics

Booster Robotics provides T1 humanoid robots for warehouse operations and field maintenance.

“Our humanoid platforms, with SAP’s intelligence, creates an adaptive automation foundation that understands business processes and operational context,” said Cheng Hao, CEO of Booster Robotics.

Watch the Booster Robotics x SAP EWM robotic AI solution video.

Galbot

Galbot’s fully autonomous, general-purpose humanoid robots have been deployed across a wide range of applications, including industrial, logistics, retail, and healthcare sectors. Powered by proprietary vision-language-action models, the Galbot G1 autonomously performs complex tasks such as precise parts sorting, industrial bin handling, and end-to-end pharmacy operations. These models enable Galbot robots to rapidly adapt to dynamic environments, ensuring high precision and efficiency even in challenging real-world conditions.

“Our collaboration with SAP marks a key milestone in transforming how robots understand and operate within enterprise environments. By integrating business context awareness into our robots, we’re creating automation that seamlessly adapts to shifting operational priorities in real time,” said He Wang, founder and CEO of Galbot.

Watch the Galbot x SAP EWM robotic AI solution video.

Humanoid

Humanoid offers reliable HMND 01 humanoid robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

“SAP’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation,” said Artem Sokolov, founder and CEO of Humanoid.

Unitree Robotics

Unitree Robotics provides advanced quadruped Go2 robots for warehouse navigation and asset inspection, plus G1 humanoids with human-like dexterity for logistics operations, alongside industrial B2 models for outdoor facility maintenance.

“SAP embodied AI agents will revolutionize enterprise autonomous operations from warehouse management to predictive maintenance across facilities,” said Wang Xingxing, CEO and founder of Unitree Robotics.

Watch the Unitree robotic asset visual inspection video.

Robotics enablement partners

SAP also introduced the following robotics enablement partners to connect humanoid and mobile robots, optimize intralogistics, streamline inspections, and orchestrate physical assets enabled by SAP Business AI and automation technologies:

Capgemini

Capgemini explores the value that can be derived from the convergence of advanced technologies such as agentic and multi-agent AI systems, humanoid robotics, reinforcement learning, spatial computing, real-time 3D environments, and conversational AI. Capgemini and SAP are jointly exploring physical AI to help organizations gain a competitive edge.

Cyberwave

Cyberwave connects SAP systems to the physical world through its Physical AI platform, which integrates robots, sensors, and digital twins into enterprise workflows.

“Together with SAP, Cyberwave turns enterprise data into coordinated physical action — bridging the gap between digital intelligence and real-world operations through Physical AI,” said Simone Di Somma, founder of Cyberwave.

HCLTech

HCLTech provides automation expertise through its AI Force platform and SAP integration capabilities, leveraging Cloud Native & AI Lab in collaboration with SAP to accelerate generative AI-led robotics solutions.

“Our collaboration with SAP enables cognitive robotics to seamlessly integrate with enterprise systems, transforming business operations through automation,” said Vijay Guntur, CTO and head of Ecosystems at HCLTech.

KINEXON

KINEXON brings physical AI to day-to-day material flow management, helping customers scale mixed-fleet operations with a vendor-agnostic orchestration platform for autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and manual vehicles.

“Our collaboration with SAP infuses business-driven agentic reasoning into real-world material movement planning and execution, maximizing utilization and throughput,” said Dr. Alexander Huettenbrink, co-CEO of KINEXON Industries.

Lighthouse

Lighthouse transforms business complexities into streamlined digital solutions, leveraging expertise across SAP Intelligent Asset Management, SAP Business AI, and SAP BTP.

“Embodied AI has huge potential for use cases, including asset and site inspection, health and safety, and quality inspection to deliver more resilient, flexible operations. We see major customer needs today, such as hazardous environments on offshore platforms in the oil and gas industry, utilities, and transportation,” said Urs Gehrig, managing director of Business Development at Lighthouse.

SinoSwissHub

SinoSwissHub is launching a regionally compliant, SAP-integrated orchestration platform for multi-robot fleets, with humanoids as the centerpiece.

“We don’t just connect robots to an SAP system; we enable real-time physical data to reinvent processes and build adaptive, resilient value chains together with SAP,” said Yuki Long, founder and CEO of SinoSwisshub and Aimbo Robotics.

Through these strategic alliances, SAP continues to lead the evolution from traditional robotic tools to those that empower autonomous operations, informed by deep business context.

To explore how SAP technology makes proofs of concepts possible in robotics, explore the reference architecture on the SAP Architecture Center site. To get involved in SAP’s Embodied AI initiative, register here.

Dr. Łukasz Ostrowski is head of Embodied AI and Robotics at SAP.

05 November

Video_SAPcomm

What We Announced at #SAPTechEd 2025 | AI & Agents

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This year, #SAPTechEd put developers at the center of business AI innovation.

✅ Expanded tools in SAP Build for low-code development
✅ Partnership with Snowflake to power enterprise AI
✅ SAP-RPT-1 — our first foundation model for business
✅ New learning resources to upskill 12M developers by 2030

Get all the details: https://sap.to/60587z2po

05 November

Video_SAPcomm

Lo-Fi Beats to Code & Learn | SAP TechEd with Kasimir the Cat

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Cat ears on. SAP Build open. Lo-fi low, focus high. Code, study, or build with Kasimir, the chill mascot of SAP TechEd, on a cozy, loopable soundtrack.

Welcome to a different kind of SAP TechEd moment. This ambient “lo-fi beats to code & learn” session features Kasimir Cat keeping you company while you debug, prototype, or cram for certs. It’s the perfect background mix for deep work – minimal vocals, steady tempo, and gentle textures that won’t compete with your flow. Consider it your musical rubber duck… with whiskers.

Why now? SAP TechEd is our global learning event for builders and problem-solvers. Whether you’re exploring Business AI, extending SAP S/4HANA, or shipping with SAP BTP, staying in the zone matters. Let this stream soundtrack your focus while you explore our hands-on sessions, tutorials, and expert talks – free and on demand. https://sap.to/60567zl88

#SAPTechEd #LoFiBeats #Developers

05 November

BUSINESS NEWS

SAP Empowers Developers to Drive the Business AI Revolution

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Innovations and partnerships including a new collaboration with Snowflake equip developers to turn business data and AI into real business outcomes

BERLIN — At SAP TechEd in 2025, SAP SE (NYSE: SAP) brings AI deep into the development process to level up how developers build.

New AI-driven capabilities in the SAP Build solution, an expanding data ecosystem and powerful Joule Agents empower developers to move from idea to impact with unprecedented speed and confidence. As AI transforms the nature of professional work, SAP also pledges to equip 12 million people worldwide with AI-ready skills by 2030.

“SAP’s announcements today give developers the tools they need to deliver at the speed of AI,” said Muhammad Alam, member of the Executive Board of SAP SE. “Innovations across SAP’s unique flywheel of applications, data and AI put developers in the driver’s seat — where they belong.”

Opening the Developer Ecosystem

SAP Build, the company’s flagship solution for enterprise application development and automation, now gives developers more freedom to build, extend and automate using the tools they love most.

For instance, developers who prefer agentic development solutions like Cursor, Claude Code, Cline and Windsurf can now use SAP development frameworks with new SAP Build local Model Context Protocol Servers. Visual Studio Code users will be able to access SAP Build capabilities directly in their development environment with a new SAP Build extension. This extension will also be made available later on Open VSX Registry for other development environments. SAP and n8n also announced plans for an integration so Joule Studio agents and n8n agents can work together.

And with new agent building capabilities in Joule Studio, developers have the tools they need to extend SAP’s ready-to-use agents and build new agents grounded in SAP business data and context that can act autonomously based on changing business conditions.

Putting Data to Work

Every intelligent application starts with trusted data. SAP is giving developers more ways to put that data to work through SAP Business Data Cloud.

The solution now connects with more of the data and AI platforms developers use every day. A new SAP Snowflake solution extension for SAP Business Data Cloud brings Snowflake’s fully managed data and AI capabilities directly to SAP customers, giving them the flexibility to choose the right compute and storage for each data and AI workload, while maintaining governance, interoperability and business context. SAP also announced a new SAP Business Data Cloud Connect partnership with Snowflake. This complements existing integrations with Databricks and Google Cloud, giving developers more freedom to choose how they work with SAP data.

With a new data product studio capability in SAP Business Data Cloud, developers can turn raw data into ready-to-use assets known as data products that support analytics, AI and application development.

An expanded capability in the SAP HANA Cloud knowledge graph engine can automatically generate knowledge graphs. This capability maps relationships across SAP database tables, columns and data models, revealing how data fits together and why it matters. Developers will be able to see how their data connects across systems and uncover underlying business insights.

Bringing AI Autonomy to Life

SAP is evolving its AI portfolio to give developers the intelligence and orchestration power they need to take AI from insight to action.

SAP introduced its first enterprise relational foundation model, a new class of AI that predicts business outcomes rather than the next word in a sentence. SAP-RPT-1, or the first-generation Relational Pre-trained Transformer, can make fast and accurate predictions for common business scenarios like delivery delays, payment risk or sales order completion. SAP launched a free playground environment for developers today.

New AI assistants in Joule coordinate multiple agents across workflows, departments and applications, bringing automation and autonomy to life. These assistants plan, initiate and complete complex tasks spanning finance, supply chain, HR and beyond. Today, SAP introduces new agents built for technical users. For example, an agent for business process analysis will help teams understand how processes run, identify inefficiencies and uncover opportunities to optimize workflows and drive measurable improvements.

Lastly, as AI changes the nature of work for everyone, SAP is pledging to equip 12 million people worldwide with AI-ready skills by 2030. SAP will expand hands-on training and certification programs that integrate practical AI-ready tools, including through its partnership with online learning platform Coursera.

Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.

About SAP

As a global leader in enterprise applications and business AI, SAP (NYSE:SAP) stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit www.sap.com.

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05 November

BUSINESS NEWS

SAP and Snowflake Unleash the Power of Data and Enterprise AI Across the Business Data Fabric

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New partnership empowers organizations with access to rich data insights required to power AI apps that accelerate businesses outcomes

BOZEMAN, Mont. and WALLDORF, Germany — Snowflake (NYSE: SNOW), the AI Data Cloud company, and SAP SE (NYSE: SAP), a global leader in enterprise applications and business AI, today announced a new collaboration to enable organizations to leverage Snowflake’s AI Data Cloud and SAP Business Data Cloud (SAP BDC) together with semantically rich data.

The joint effort will make Snowflake’s data and AI platform available as an SAP solution extension for customers of the SAP BDC solution. The new offering, SAP Snowflake solution extension for SAP Business Data Cloud, unites SAP’s deep expertise in mission-critical business processes and semantically rich data with Snowflake’s unified platform capabilities for building AI and machine learning solutions. SAP and Snowflake are also enabling zero-copy sharing between SAP BDC and Snowflake to help customers get richer insights, build enterprise-grade intelligent applications, and unlock AI-enabled innovation that fuels business transformation.

“By tightly integrating SAP and Snowflake, we’re making it simple for enterprises to connect their critical business data with its rich context in SAP with the power of seamless AI app and data agent development at scale in Snowflake,” added Christian Kleinerman, EVP of Product, Snowflake. “Enterprises can now innovate faster with Snowflake and SAP BDC and seamlessly share data between the platforms—zero-copy and fully governed.”

SAP Snowflake brings Snowflake into the open data ecosystem of SAP BDC and the business data fabric—empowering customers with greater openness and choice while extending SAP BDC with Snowflake’s AI, analytics, data engineering, Marketplace, and collaboration capabilities. Customers can use SAP BDC with SAP Snowflake as a cloud-scale compute and storage option to extend the value of their data. Leveraging bidirectional, zero-copy data access data and AI teams can work with semantically rich SAP data products in real time, within a unified governance framework. As a result, customers can harmonize SAP and non-SAP data while optimizing total cost of ownership across workloads and build agents and AI applications in SAP Snowflake fueled by trusted SAP data products.

“Bringing Snowflake to SAP Business Data Cloud empowers our customers with openness and choice,” said Irfan Khan, President and Chief Product Officer for SAP Data and Analytics, SAP SE. “Together, we combine SAP’s decades of leadership in mission-critical business applications with Snowflake’s modern data platform to deliver a unified, enterprise-ready, and SAP-supported experience that extends the value of business data across the entire ecosystem.”

With SAP Snowflake, customers can:

Build a trusted, AI-ready data foundation to harmonize SAP and non-SAP data: Unify their data landscape with an integrated business data fabric—enabling more seamless zero-copy sharing, enriched modeling, and a complete, business-ready view of their data in real time for all data engineering, analytics, and AI and machine learning workflows across the enterprise.
Accelerate AI business value with semantically rich data: Simplify AI governance, ground AI in organizational knowledge, and build tailored agents—helping to ensure more secure, context-rich, and intelligent applications across the enterprise.
Develop intelligent applications grounded in mission-critical business data: Build, deploy, and continuously optimize intelligent applications faster with a harmonized and democratized data foundation powered by semantically rich, trusted data products that accelerate the pace of innovation and production.

In addition to SAP Snowflake, the partnership also includes SAP Business Data Cloud Connect for Snowflake, a capability enabling bidirectional, zero copy data sharing with Snowflake. Enterprises already using Snowflake can leverage SAP BDC Connect to integrate their existing instances of Snowflake with SAP Business Data Cloud for more-seamless, zero‑copy access, providing Snowflake users with real-time access to semantically rich SAP data products—without duplication.

SAP and Snowflake are supporting thousands of customers, including industry leaders like AstraZeneca, as they transform their industries with this partnership.

“AstraZeneca is constantly pushing the boundaries of science and is pioneering in life-changing medicines,” said Russell Smith, Vice President of ERP Transformation Technology, AstraZeneca. “Data and AI are central to achieving this aim, and our close collaboration with SAP and Snowflake compliments our ability to access, process and analyze real-time data. This announcement will accelerate our mission and recognizes that every minute matters to make breakthroughs for patients.”

SAP Snowflake is planned to be generally available in Q1 2026. SAP BDC Connect for Snowflake is planned to be generally available in H1 2026.

Learn more

Learn more about the power of SAP and Snowflake together here.
Discover what makes the SAP Business Data Cloud unique here.
For more information on SAP Snowflake, visit the SAP and Snowflake partner page and read this blog post.
Stay on top of the latest news and announcements from Snowflake on LinkedIn and X.

Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.

About Snowflake

Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,000 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

About SAP

For customers interested in learning more about SAP products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1SAP (1-800-872-1727)

For more information, press only:
SAP: Scott Malinowski, scott.malinowski@sap.com
SAP Press Room; press@sap.com
Snowflake: Tom Hannigan, press@snowflake.com

This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events.
© 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

05 November

Video_SAPcomm

How to Build, Test and Deploy AI Agents with Agent Builder in Joule Studio | Overview & Demo

by tempuser_827754558 0 Comments

Discover how to design, test, and deploy intelligent Joule Agents—powered by SAP AI—in minutes.

Accelerate agentic AI development with Joule Studio, SAP’s intuitive environment for building, testing, and deploying Joule Agents across your enterprise. This overview and demo video shows how developers and business leaders can turn ideas into intelligent, production-ready agents—no complex coding required.

Using natural language prompts, Joule Studio automatically creates an agent plan, defines structure and goals, and connects to the right large language models (LLMs) to power advanced reasoning and planning. The platform generates Joule Skills for rule-based tasks and seamlessly configures the MCP server, enabling secure connections to third-party tools and SAP applications.

You’ll also see how Joule Studio enables grounding with domain documents—allowing agents to respond contextually with organization-specific knowledge—and provides full testing and validation before deployment. A detailed execution trace reveals how each agent plans and acts, providing developers with complete visibility into performance and reliability.

Finally, watch how easily you can version, govern, and deploy your agents to production. Whether you’re automating workflows, optimizing decision-making, or exploring new AI-driven business models, Joule Studio gives you the foundation to innovate faster and scale safely.

Ready to get started?
Explore how Joule Studio brings the power of AI agents to your enterprise:
👉 https://sap.to/60527KA2a

00:00 – Introduction – Simplify agentic development
00:18 – Creating a Joule Agent from natural language
00:47 – Structuring goals, reasoning, and LLM selection
01:06 – Connecting tools and applications via MCP server
01:15 – Grounding with domain documents
01:19 – Testing and validation in Joule Studio
01:41 – Deploying agents with governance
01:49 – Transforming workflows with agentic AI

#SAP #JouleStudio #BusinessAI