In just six months, Brose transitioned its mission-critical systems from internal data centers to the cloud, including complex production processes such as just-in-time and just-in-sequence operations across its global manufacturing plants. The migration was executed without any disruption to customer deliveries, underscoring the robustness of the solutions and the strength of the 麻豆原创-Brose partnership.

鈥淭his cloud migration makes Brose faster, more flexible, and more resilient鈥攁nd strengthens our position as an innovative partner for the mobility of the future,鈥� said Stefan Krug, CEO of the Brose Group. 鈥淐hallenging times in particular show how important digital transformation is. I鈥檓 proud of our team鈥檚 dedication and the seamless collaboration with 麻豆原创.鈥�

The project is considered a reference implementation for the automotive industry and sets a benchmark for future 麻豆原创 cloud initiatives. Brose鈥檚 successful deployment demonstrates how 麻豆原创 Cloud ERP Private can support high-performance manufacturing environments while enabling scalability and innovation.

鈥淏rose鈥檚 rapid and disruption-free migration to 麻豆原创 Cloud ERP Private exemplifies the power of the cloud to drive agility and resilience in the automotive sector,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE. 鈥淭his collaboration showcases what鈥檚 possible when industry leaders embrace transformation with speed and precision.鈥�

Looking ahead and聽reinforcing its role as a pioneer in automotive digitalization, Brose will continue to work closely with 麻豆原创 and other ecosystem partners to strengthen its foundation聽of 麻豆原创 cloud solutions to enable the usage of the latest innovations such as business AI.

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Media Contact:
Lesa Plingen, +49 622 776 9000,聽lesa.plingen@sap.com, CET
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Top image courtesy of Brose

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ.聽 Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

New sovereign cloud collaboration combines 麻豆原创 enterprise applications expertise with AWS cloud infrastructure, enabling customers in highly regulated industries to pursue AI innovation

WALLDORF 鈥� Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and (NYSE: 麻豆原创) today unveiled plans to make 麻豆原创 Sovereign Cloud capabilities available on the AWS European Sovereign Cloud, a new, independent cloud for Europe from Amazon.

The collaboration builds on the companies鈥� longstanding partnership and 麻豆原创鈥檚 comprehensive new approach to digital sovereignty and AI innovation. 麻豆原创 Sovereign Cloud capabilities are security-hardened cloud solutions from 麻豆原创, aligned with industry standards for regulated industries and governments. The collaboration will focus on uniting these capabilities and 麻豆原创’s deep enterprise expertise with AWS infrastructure and operational expertise to meet customers鈥� evolving digital sovereignty needs across Europe.

鈥淲e鈥檙e delighted that 麻豆原创 Sovereign Cloud capabilities will be available on the AWS European Sovereign Cloud. This will give organizations more choice in how they meet their sovereignty requirements while leveraging best-in-class cloud technologies,鈥� said David Brown, vice president of Compute and Machine Learning at AWS. 鈥溌槎乖� and AWS share a mutual vision 鈥� we want to ensure that our customers have access to some of the most advanced sovereignty solutions available, so organizations can focus on innovation and driving tangible outcomes. We鈥檙e looking forward to our ongoing collaboration with 麻豆原创 and seeing the ways that organizations across Europe will innovate with the AWS European Sovereign Cloud.鈥�

The AWS European Sovereign Cloud, which is set to launch its first AWS Region in Brandenburg, Germany by the end of 2025, is designed to give public sector organizations and customers in highly regulated industries further choice. The offering can help these organizations meet their unique digital sovereignty needs, including data residency, operational autonomy, and resiliency requirements. 麻豆原创 Sovereign Cloud capabilities are already available on AWS in Australia and New Zealand (since 2023), the UK (since 2024), Canada and India (since 2025), and the addition of 麻豆原创鈥檚 capabilities to the AWS European Sovereign Cloud is a significant milestone for customers across Europe.

麻豆原创 Sovereign Cloud empowers organizations to innovate more securely, comply with local laws, and scale on their own terms. 麻豆原创 Sovereign Cloud on AWS European Sovereign Cloud solutions will initially include 麻豆原创 Business Technology Platform and 麻豆原创 Cloud ERP. These solutions will provide customers with a secure foundation for managing critical business processes and sensitive data, while supporting compliance with relevant regulations.

鈥淲ith our expanded 麻豆原创 Sovereign Cloud offerings, we鈥檙e enabling customers across all industries to harness the full power of cloud innovation and AI,鈥� said Thomas Saueressig, Member of the Executive Board of 麻豆原创 SE, Customer Services and Delivery. 鈥淏y deploying the 麻豆原创 Sovereign Cloud portfolio on the AWS European Sovereign Cloud, customers gain access to our comprehensive suite of sovereign cloud solutions, further strengthened by our trusted, long-standing partnership with Amazon Web Services.鈥�

The AWS European Sovereign Cloud will be separate and independent from AWS鈥檚 existing Regions and will have . Backed by strong technical controls, , and legal protections, customers can benefit from the full capacity of AWS with the same industry-leading security, resilience, and expansive service portfolio available in existing Regions.

AWS and 麻豆原创 have been innovating in the cloud together for more than 16 years.  This new collaboration builds on that history to support customers鈥� digital sovereignty requirements and accelerate their digital transformation in Europe.

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About Amazon Web Services

Since 2006, Amazon Web Services has been the world鈥檚 most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 120 Availability Zones within 38 geographic regions, with announced plans for 10 more Availability Zones and three more AWS Regions in Chile, the Kingdom of Saudi Arabia, and the AWS European Sovereign Cloud. Millions of customers鈥攊ncluding the fastest-growing startups, largest enterprises, and leading government agencies鈥攖rust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit .

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth鈥檚 Most Customer-Centric Company, Earth鈥檚 Best Employer, and Earth鈥檚 Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.

About 麻豆原创

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

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
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Many organizations recognize generative AI鈥檚 potential to transform their business, but don鈥檛 know where to start. By combining advanced generative AI technologies with enterprise resource planning (ERP) data from critical systems, companies can unlock significant enterprise value: for example, optimizing delivery routes, anticipating potential impacts to supply chain operations, or developing precise financial outlooks.

The AI Co-Innovation Program represents the two companies鈥� shared vision to help partners define, build, and deploy generative AI applications tailored to their ERP workloads. The program brings together enterprise technology from 麻豆原创 and generative AI services from AWS with professional expertise from both parties 鈥� including teams of AI experts, professional services consultants, and solutions architects 鈥� to help support customers in their implementation journeys.

The program will include dedicated technical resources, cloud credits, and more to support the development, testing, and deployment of industry-specific applications.

“AWS and 麻豆原创’s long-standing partnership has helped customers accelerate their cloud journey and unlock more value from their business data,” said Ruba Borno, vice president of Specialists and Partners at AWS. “Our AI Co-Innovation Program is a significant next step that will give organizations the security and flexibility to build generative AI applications with Amazon Bedrock that can analyze and act on their most critical 麻豆原创 data. This will help customers transform decades of business information into actionable insights while accelerating their path to becoming more agile, data-driven organizations.”

“Through the AI Co-Innovation Program with AWS, we’re enabling businesses to solve their most complex operational challenges with precision and speed,” said Philipp Herzig, CTO and chief AI officer at 麻豆原创. “By combining the power of our fully integrated platform with 麻豆原创 BTP and our deep business process expertise with AWS’s comprehensive generative AI capabilities, partners can now create purpose-built AI agents that solve their most pressing challenges 鈥� identifying financial anomalies in real time to automatically optimizing supply chains during disruptions.鈥�

The program also allows partners to rapidly build and scale generative AI applications using the latest generative AI tools and services from Amazon Bedrock, including large language models (LLMs) such as Amazon Nova and Anthropic Claude in AI Foundation on 麻豆原创 Business Technology Platform (麻豆原创 BTP).

This announcement expands on the work AWS and 麻豆原创 are doing to help customers 鈥� including Hyundai Motor Group, Moderna, and Zurich Insurance Group 鈥� modernize and move 麻豆原创 workloads to AWS, realizing the availability, flexibility, and scalability of the cloud. Running 麻豆原创 workloads on AWS allows customers to then combine their data with generative AI solutions. Partners including Accenture and Deloitte are among the first to work with AWS and 麻豆原创 through the program, helping them accelerate the development and deployment of generative AI solutions to solve complex challenges.

鈥淭he AWS and 麻豆原创 AI Co-Innovation Program brings together AWS cloud infrastructure and 麻豆原创 enterprise software experience. Combined with Accenture’s AI transformation expertise and industry knowledge, we can show companies exactly how to integrate generative AI services with their most critical business workloads,” said Caspar Borggreve, senior managing director and 麻豆原创 Business Group lead at Accenture. “For example, together with AWS and 麻豆原创, we are working with a utilities client to build a natural disaster asset resiliency capability to anticipate and respond to environmental challenges, protecting asset-intensive landscapes and maintaining service continuity for its customers.鈥�

“This AI Co-Innovation Program combines cutting-edge generative AI capabilities from AWS and 麻豆原创 with Deloitte’s deep industry experience and technology capabilities to deliver transformative solutions for our customers,” said Nishita Henry, AWS global chief commercial officer at Deloitte Consulting LLP. “Through the program, we are building a finance solution powered by Amazon Bedrock to help healthcare and life sciences companies optimize their product mix, improve forecast accuracy, and maintain competitive pricing, even during uncertain market conditions.”

For more details on the AWS 麻豆原创 AI Co-Innovation Program, visit .

Kai Muehlbauer is head of AI Product and Partner Management at 麻豆原创.
Sara Alligood is global AWS head of 麻豆原创 at Amazon Web Services.

麻豆原创 NS2 is an independent, U.S. subsidiary of 麻豆原创, with a mission is to provide U.S. sovereign cloud services to highly regulated agencies. This award focused on top AWS partners with government competency that delivered innovative, mission-based wins for the Federal Government. In cooperation with AWS, we have continued to provide an avenue for the Federal Government to adopt leading technology while protecting their mission-critical data.

鈥溌槎乖� NS2 is honored to have received this award,” shared Harish Luthra, CEO of 麻豆原创 NS2. “Our partnership with AWS supports our mission of delivering industry-leading technology to government agencies. This award is a testament to our work within the public sector thus far, and we look forward to continuously supporting the government鈥檚 cloud smart strategy.鈥�

As the U.S. sovereign cloud provider of 麻豆原创 software, the 麻豆原创 NS2 secure cloud environment and delivery model protects Controlled Unclassified Information (CUI), Personally Identifiable Information (PII), HIPAA information, and other sensitive data. This empowers Federal Government agencies to adopt commercial innovation with government-grade security at the forefront.

Expanding even further, 麻豆原创 NS2 has built strong relationships with 麻豆原创 and AWS to successfully deliver leading enterprise 麻豆原创 applications on AWS GovCloud infrastructure. This delivery model supports our government customers with elevated compliance needs, as it provides the innovation of 麻豆原创 with U.S.-specific security controls.

In 2024, 麻豆原创 NS2 and AWS have collaborated to bring new capabilities into our existing infrastructure鈥攕uch as resilience testing tools and performance processors. These strategic conversations support the federal cloud computing strategy, as government agencies continue to transition mission-critical workloads to cloud-based applications. In 2025, we鈥檒l begin to look at ways we can further modernize our offerings to the Federal Government through services such as AI.

In addition to the Federal Government award, 麻豆原创 NS2 was named a finalist for the Public Sector North America Technology Partner of the Year. As our relationship with AWS continues to develop, we can further strengthen and improve the ways we deliver industry-tailored cloud solutions to our customers.

麻豆原创 NS2 is dedicated to being a cloud service provider that delivers innovative 麻豆原创 solutions while addressing mission-critical security needs. This award, and our collaboration with AWS, helps us pave the path for highly regulated agencies to find their footing in a cloud-first world.

Learn more about .

Lillian Chang is senior vice president of ,Product Strategy and Portfolio for 麻豆原创 NS2.

The generative AI hub enables enterprise customers to easily access聽a broad range of commercial and open-source large language models (LLMs) in a safe and secure environment. This milestone marks a new chapter in our long-standing partnership with AWS, combining 麻豆原创鈥檚 AI innovations and enterprise expertise with Amazon鈥檚 latest and most advanced AI capabilities and technology solutions聽to unlock powerful opportunities for businesses.

Amazon Nova joins a growing portfolio of top-tier commercial and open-source models available through the generative AI hub. By making the new Amazon Nova models publicly available simultaneously with their release on AWS, 麻豆原创 helps ensure that customers can immediately leverage the latest innovations to build AI-driven solutions that harness the聽full聽business context in 麻豆原创 data.

Tailored AI Solutions for Every Need

The Amazon Nova release includes three state-of-the-art understanding models that are available today,聽enabling businesses to choose the聽right聽model for their unique needs:

• Amazon Nova Micro: Text-only model that delivers the lowest latency responses at very low cost
• Amazon Nova Lite: Very low-cost multimodal model that is lightning fast for processing image, video, and text inputs
• Amazon Nova Pro: Highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks

With these models now accessible through the generative AI hub, developers can efficiently leverage them alongside the extensive capabilities of 麻豆原创 Business Technology Platform (麻豆原创 BTP) to build and scale AI-powered solutions that seamlessly work with 麻豆原创 applications.

Streamlined Access and Integration

麻豆原创鈥檚 generative AI hub helps simplify how businesses access and deploy advanced AI models.聽The Amazon Nova models, alongside other聽leading offerings,聽are available through a unified interface deeply integrated with 麻豆原创 BTP.聽This聽helps ensure customers can automate workflows聽with precision, build multimodal AI solutions tailored to specific challenges, and fully utilize the business context embedded in 麻豆原创 data.

By聽combining Amazon Nova models with 麻豆原创 BTP services like workflow automation and vector databases, businesses can develop customized AI solutions that can scale effortlessly.聽For example, developers can create new skills for Joule, 麻豆原创鈥檚 AI copilot, leveraging Amazon Nova models and 麻豆原创 HANA鈥檚 vector capabilities to process enterprise-specific data.聽This helps聽ensure AI outputs are聽not only accurate and relevant but also聽actionable, driving measurable results across operations.

麻豆原创 and AWS: Unlocking the Future of Business AI

The availability of Amazon Nova models on the generative AI hub marks a significant milestone in 麻豆原创鈥檚 long-standing collaboration with AWS. Together, we continue to address critical enterprise challenges such as data security, regulatory compliance, and scalability, ensuring businesses can confidently adopt AI solutions that deliver tangible value. This partnership underscores our shared vision of making advanced AI accessible and impactful for businesses worldwide, unlocking new levels of efficiency and innovation.

With access to Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro, 麻豆原创 customers can reimagine their operations 鈥� automating workflows, enhancing insights, and driving complex decisions. We鈥檙e excited to see how our customers and partners leverage these capabilities to achieve impactful business outcomes.

Learn more about innovating with and the new .

This integration represents more than just a technical achievement 鈥� it’s a strategic milestone in our commitment to delivering exceptional value to our customers of all sizes. It highlights the capabilities of GROW with 麻豆原创 on AWS, exploring its technical foundation and the transformative impact it can have on businesses embracing to drive innovation and operational excellence.

What Exactly Is GROW with 麻豆原创 on AWS?

At its core, is a comprehensive cloud ERP solution designed to help businesses adopt 麻豆原创 S/4HANA Cloud Public Edition quickly and effectively. By leveraging AWS’s global infrastructure, this offering can provide a ready-to-run cloud ERP system that integrates industry best practices, preconfigured processes, and continuous innovation. Our customers have consistently told us they need three things: seamless scalability, ironclad security, and the ability to innovate rapidly. This new offering delivers on all three fronts. Key features of GROW with 麻豆原创 include prebuilt industry solutions for a broad array of manufacturing-centric and services-centric industries; rapid deployment using guided tools and methodologies like the 麻豆原创 Activate process; scalability and flexibility; and embedded AI capabilities that are built into our end-to-end processes to enable real-time insights and process automation.

By leveraging AWS’s global infrastructure with 麻豆原创’s deep enterprise expertise, GROW with 麻豆原创 on AWS via AWS Marketplace can empower businesses to adopt a modern, intelligent ERP system designed for agility, scalability, and innovation. It brings together the best of 麻豆原创 S/4HANA Cloud Public Edition and AWS鈥檚 cloud capabilities and offers a comprehensive solution tailored to meet the evolving needs of businesses. Here鈥檚 how it helps deliver value:

• Empowering financial and operational excellence with AI-driven insights: GROW with 麻豆原创 integrates -powered processes, enabling businesses to make faster and more accurate decisions through real-time, data-driven insights and actionable recommendations. With Amazon Bedrock models available through 麻豆原创’s generative AI hub, customers can innovate further by embedding generative AI into core business processes. For CFOs, this can mean enhanced financial control, compliance, and cost optimization. For COOs, the solution helps streamline operations with AI automation, boosting productivity and enabling scalable infrastructure for agile business growth. It also improves cross-functional collaboration, encouraging innovation and efficiency. These features help CFOs and COOs improve overall financial performance and operational flexibility, setting their organizations up for long-term success.
• Comprehensive SaaS ERP built for industry needs: At its core, GROW with 麻豆原创 can provide a full-featured, software-as-a-service (SaaS) ERP solution designed to address both product- and service-centric industries. Leveraging over 50 years of 麻豆原创鈥檚 expertise in helping customers run at their best, the solution comes with prebuilt industry-specific capabilities. Its modular structure helps ensure customers can future-proof their operations by easily adding advanced features or new functionalities as their needs evolve.
• Faster rollouts and prebuilt processes: The solution helps accelerate time-to-value by offering preconfigured processes, guided tools, and proven methodologies like 麻豆原创 Activate. These elements can ensure a predictable implementation scope and timeline, helping business go live in months 鈥� a significant improvement over traditional ERP deployment approaches.

Accelerate Deployment with AWS Marketplace

The availability of GROW with 麻豆原创 on AWS through the AWS Marketplace allows for customers to work collaboratively with joint 麻豆原创 and AWS partners to quickly implement and scale their ERP systems. Key benefits include:

• Simplified procurement and billing: AWS Marketplace offers an integrated purchasing experience, reducing administrative overhead and accelerating adoption. Customers can procure GROW with 麻豆原创 alongside complementary 麻豆原创 solutions available on AWS Marketplace, consolidating billing into one unified invoice for easier financial management.
• Accelerate seamless deployment: By partnering with designated GROW with 麻豆原创 and AWS experts, businesses can deploy a ready-to-run SaaS ERP on AWS in a matter of months versus years with traditional approaches. This approach can reduce complexity and ensure predictable outcomes, allowing companies to focus on achieving business goals rather than navigating lengthy implementation cycles.

Why GROW with 麻豆原创 Stands Out

The combination of 麻豆原创 S/4HANA Cloud Public Edition and AWS infrastructure creates a transformative platform for businesses looking to modernize their operations. With embedded intelligence, modular design, rapid deployment options, and seamless integration through AWS Marketplace, GROW with 麻豆原创 on AWS is more than just an ERP solution 鈥� it鈥檚 a strategic enabler for digital transformation. For organizations seeking to stay competitive in today鈥檚 fast-paced digital economy, GROW with 麻豆原创 on AWS offers not just a path forward but a platform for continuous innovation and growth.

Looking Ahead: The Future of Cloud ERP

The introduction of GROW with 麻豆原创 on AWS represents more than just a technological advancement; it鈥檚 a paradigm shift in how businesses approach ERP adoption. By combining the strength of 麻豆原创’s enterprise expertise and AWS’s cloud innovation, this solution creates a powerful foundation for digital transformation. Together, we’re not just helping businesses adapt to change 鈥� we’re empowering them to drive it.

As organizations continue navigating an increasingly digital economy, solutions like GROW with 麻豆原创 on AWS via AWS Marketplace offer a clear path toward agility and resilience. Whether you are a mid-sized company looking to modernize or an enterprise seeking advanced AI-driven insights, this collaboration can provide the tools you need to succeed in today’s competitive landscape. I’m particularly excited about how this collaboration will enable our customers to leverage the full potential of our partnership.

For more information about how GROW with 麻豆原创 on AWS can transform your business operations, reach out to your 麻豆原创 representative or .

Jan Gilg is president and chief product officer for Cloud ERP at 麻豆原创.

WALLDORF 鈥� At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and (NYSE: 麻豆原创) today announced GROW with 麻豆原创 on AWS, which will allow customers of all sizes to rapidly deploy 麻豆原创鈥檚 enterprise resource planning (ERP) solution while leveraging the reliability, security and scalability of the world鈥檚 most broadly adopted cloud.

The collaboration will simplify and accelerate the adoption of 麻豆原创 S/4HANA Cloud Public Edition and unlock new generative artificial intelligence (AI)-assisted innovation for customers. This expands on the two companies鈥� longstanding joint commitment to help customers transform their businesses and establishes AWS as the first cloud provider to offer the GROW with 麻豆原创 solution through its cloud marketplace.

ERP solutions provide organizations with a centralized platform for optimizing and automating functions such as finance, human resources, supply chain and customer service with end-to-end visibility into all critical aspects of the business. Historically, these deployments required high upfront costs to provision hardware and software licenses, as well as burdensome change management processes to adapt workflows around mission-critical operations. The GROW with 麻豆原创 solution is a software-as-a-service solution that helps customers adopt cloud ERP quickly. Unlike on-premises deployments, customers who deploy the GROW with 麻豆原创 on AWS initiative will benefit from simplified and reduced deployment time鈥攆rom years to months鈥攚ith no upfront provisioning or licensing costs. Customers also benefit from one unified bill, the opportunity to use their existing AWS credits and commitments, and the availability, flexibility and scalability of the cloud.

GROW with 麻豆原创 will make it easier for customers to streamline business operations to better serve their end users and build secure generative AI applications by combining their 麻豆原创 data with AWS industry-leading generative AI services, such as Amazon Bedrock. Available through the generative AI hub in the 麻豆原创 AI Core infrastructure on 麻豆原创 Business Technology Platform (麻豆原创 BTP), and directly on AWS, Amazon Bedrock offers a broad selection of foundation models from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI and Amazon. These capabilities will complement Joule, 麻豆原创’s generative AI copilot, which works across business applications from 麻豆原创.

鈥淔or more than 16 years, we鈥檝e worked to empower thousands of customers to transform their businesses through seamless integration of 麻豆原创 solutions with AWS,鈥� said Ruba Borno, vice president, Specialists and Partners at AWS. 鈥淲e were the first cloud provider certified to support the 麻豆原创 portfolio, and GROW with 麻豆原创 on AWS represents our shared commitment to continuing to make it easy to realize the benefits of cloud ERP.”

鈥淥ur collaboration with AWS will provide customers of all sizes a simplified path to deploy cloud ERP with powerful automation and insights via Joule embedded across our business applications,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product Engineering. 鈥淭oday鈥檚 announcement will allow customers to transform in the cloud more easily with the proven security, reliability, and availability of AWS. By using Amazon Bedrock via the generative AI hub capability from 麻豆原创, customers can unlock even more business AI innovation.鈥�

GROW with 麻豆原创 on AWS will leverage the AWS Nitro System, a collection of hardware and software components designed to provide high performance, availability, privacy and security for cloud-based workloads. This allows customers to confidently run their critical 麻豆原创 ERP applications in the cloud with enhanced performance, reliability and data protection, and without the constraints of traditional hardware configurations. Additionally, GROW with 麻豆原创 on AWS will take advantage of AWS Graviton chips, which use up to 60% less energy than comparable Amazon Elastic Compute Cloud (EC2) instances for the same performance.

GROW with 麻豆原创 on AWS builds on the success the two companies have achieved with the RISE with 麻豆原创 solution, helping thousands of customers, including Fortune 500 companies such as , Hyundai,  Moderna and Zurich Insurance Group, combine the strength of 麻豆原创 and AWS for complex, mission-critical workloads.

鈥淢aking GROW with 麻豆原创 available in AWS Marketplace will unlock tremendous opportunities for us to accelerate widespread customer adoption of 麻豆原创 cloud ERP solutions infused with embedded business AI capabilities,” said Steve Niesman, executive vice president & president, Americas region, at NTT DATA Business Solutions. “The combination of 麻豆原创’s proven cloud ERP solutions combined with the security, reliability and scalability of AWS, plus the integration of cutting-edge generative AI solutions and services, will empower customers with significant productivity gains and the ability to innovate and thrive in the digital age.鈥�

GROW with 麻豆原创 on AWS is planned to be available through AWS Marketplace in the coming months. Customers can explore GROW with 麻豆原创 and other 麻豆原创 solutions in AWS Marketplace at .

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麻豆原创 Business AI is center stage at the show and top of mind for our customers. These innovations are not just about technological excellence; they’re about delivering real-world results.

Our goal is to provide clear and meaningful value with AI. More than 27,000 customers are already experiencing the substantial impact of 麻豆原创 Business AI. For example, Team Liquid, a leader in the competitive esports and gaming world, saves approximately 10,000 hours per year on manual analysis. But we鈥檙e not stopping here. With 麻豆原创 Business AI, we are both changing how businesses operate and revolutionizing how users interact with 麻豆原创 software.

Generative AI copilot Joule is rapidly becoming the natural language interface across the portfolio as we continue to embed AI across 麻豆原创 applications at an accelerated pace. Our focus on advancing AI means that customers benefit from effective solutions that drive real-world results.

Sandra Voeller, CEO of Agilita AG, agrees. 鈥淯sing 麻豆原创 S/4HANA Cloud Public Edition and 麻豆原创 SuccessFactors with Joule copilot poises Agilita to redefine industry standards,鈥� she said. 鈥淭hese tools are not just innovations; they are our future 鈥� unlocking unprecedented business agility and intelligence. I鈥檓 thrilled for the transformative journey ahead.鈥� 

We have also engaged our robust partner ecosystem with business AI to offer customers more choices to tackle their specific business needs. Over 60 ecosystem partners are working on more than 80 use cases built on AI Foundation on 麻豆原创 BTP, including the generative AI hub. This same foundation powers innovation for our development teams and customers, ensuring tailored enterprise-class AI solutions that address real business challenges and opportunities.

Dive into the latest AI capabilities and ecosystem innovations we are presenting this week at 麻豆原创 Sapphire, all aimed at delivering real-world results:

• Joule
• Human Resources
• Finance
• Supply Chain
• Procurement
• Sales, Services, Marketing, and Commerce
• IT and Platform
• Industries
• Breakthrough AI Innovations
• Responsible AI
• New Partnerships

New Business AI Capabilities and Ecosystem Innovations

Joule

Joule is transforming how users interact with 麻豆原创 business systems, making every touchpoint count and every task simpler. Business users can execute transactional tasks 90% faster and access 麻豆原创 Help Portal content 95% quicker without leaving their 麻豆原创 applications.

Since its launch in September 2023, Joule has quickly become pervasive across the 麻豆原创 portfolio, streamlining operations, improving decision-making, and boosting efficiency across various business functions. Today, Joule is already embedded in HR, finance, ERP, sales, services, marketing, and commerce applications, transforming how employees, managers, accountants, field personnel, and front-office professionals work. By the end of this year, 80% of the most frequently performed transactions across 麻豆原创 business applications will be fully automated with Joule.

Joule is also integrated with multiple components of 麻豆原创 Business Technology Platform (麻豆原创 BTP), enhancing everything from application development to integration and data management. In the second half of this year, we plan to expand Joule鈥檚 reach to supply chain management, analytics, and planning solutions through integration with 麻豆原创 Ariba, various supply chain management solutions, and 麻豆原创 Analytics Cloud. Joule will also support several additional languages, including German, Spanish, French, and Portuguese. With a multilingual Joule integrated across the 麻豆原创 portfolio, businesses around the globe will be able to work faster and smarter and achieve better outcomes.

We are also enhancing Joule with additional capabilities to help the ecosystem streamline 麻豆原创 implementations. Joule will provide consultants with vital information through natural language interactions, drawing from insights in more than 200,000 pages of product documentation and knowledge shared by the 麻豆原创 community. Once rolled out to an ecosystem of more than 5 million consultants, this capability has the potential to save up to 600 million working hours per year. This is especially critical for supporting customers transitioning to 麻豆原创 S/4HANA Cloud as part of RISE with 麻豆原创, helping them accelerate implementations and save money.

The 麻豆原创 partner ecosystem is embracing AI innovations that accelerate customer value. 鈥淲e鈥檙e embracing Joule and Joule鈥檚 麻豆原创 Consulting capabilities to help our clients build the organizational agility needed to continuously transform with a generative AI-enabled digital core,鈥� shared Lan Guan, chief AI officer at Accenture.

This capability will be available later this year.

Human Resources

Transforming HR with AI creates dynamic, inclusive, and future-ready workplaces. With Joule integrated into the 麻豆原创 SuccessFactors Recruiting solution, hiring managers can create compelling, bias-free job descriptions 90% faster, significantly enhancing hiring efficiency and outcomes.

We have also expanded Joule capabilities across the 麻豆原创 SuccessFactors HCM suite to enhance the employee experience. Employees will soon be able to get instant answers to HR policy questions and complete HR processes using natural language. Joule鈥檚 advanced document grounding capabilities will enable comprehensive responses by accessing business documents in 麻豆原创 and third-party repositories such as Microsoft SharePoint.

A new generative AI writing assistant capability helps employees draft personalized and measurable performance goals, development plans, and feedback reports more effectively and consistently. This saves employees up to 30% of the time spent crafting written communications and reduces the time people managers spend defining individualized development goals by 60%.

Managers also benefit from AI-assisted person insights that summarize complex compensation data, make recommendations, and provide talking points for discussions with employees 鈥� saving time and improving retention rates. Similarly, recruitment becomes more productive with the new AI-assisted applicant screening capability, which helps identify the most promising candidates by matching skills extracted from resumes with those in job descriptions.

These AI-driven enhancements empower organizations to build a connected, data-driven, and employee-centric workforce, leading the way in HR innovation and efficiency.

Finance

With 麻豆原创 Business AI, we鈥檙e enhancing performance across a range of financial activities, from payments and expense management to financial close, invoice management, auditing, and forecasting.

For example, financial collection departments are leveraging generative AI in 麻豆原创 Enterprise Service Management to automate processes, analyze and summarize correspondence, prioritize urgent issues, and generate automated replies. These capabilities reduce costs by up to 70% and accelerate service requests by up to 30%, enhancing customer satisfaction.

Billing specialists are now using Joule integrated into 麻豆原创 Advanced Financial Closing to unlock unstructured content from inbound customer correspondence, improving the accuracy of risk determinations. Joule also generates summaries of project profitability, prioritizes projects for further analysis, and proposes actions for project improvement. Additionally, 麻豆原创 Fiori apps now feature Joule-enabled insights, allowing the copilot to summarize available data and produce visual data narratives.

Later this year, new generative AI capabilities in 麻豆原创 Advanced Financial Closing will automate error detections and root cause analysis, helping users quickly resolve common closing errors. With up to two hours saved per error remediation, customers will be able to accelerate closing times while lowering support and compliance costs. Financial controllers will be able to also take advantage of personalized video data stories, highlighting top projects based on key metrics such as recognized revenue, utilization rates, and margins. Collections specialists using 麻豆原创 Billing and Revenue Innovation Management will be able to mitigate risk of late customer payments by analyzing customer behavior and business correspondence to predict the likelihood of delayed payments.

Integrating AI into finance helps businesses streamline processes, reduce costs, and drive meaningful business outcomes.

Supply Chain

麻豆原创 Business AI is empowering companies to create risk-resilient and sustainable supply chains. By leveraging AI, customers can increase supply chain agility and efficiency.

For instance, generative AI-powered capabilities in 麻豆原创 Transportation Management will expedite freight verification and documentation, enabling companies to achieve up to 50% faster inbound delivery note processing and reduce truck idle time at the gate by 40%. The system will automatically extract, post, and check critical information from delivery notes, streamlining the validation of freight orders.

Joule will play a crucial role in enhancing supply chain management. Later this year, supply chain planners will benefit from integration with 麻豆原创 Integrated Business Planning for Supply Chain by getting detailed analyses of planning runs. Joule will identify the root causes of order delays and suggest corrective measures. Logistics providers will be able to use Joule to expedite transportation planning and the intake of goods in 麻豆原创 S/4HANA Supply Chain for transportation management, enhancing overall logistics efficiency.

For manufacturers, 麻豆原创 Business AI will significantly improve quality management. 麻豆原创 Quality Issue Resolution will allow users to address recurring issues faster by using AI to bundle similar quality incidents and identify effective problem-solving processes. Furthermore, AI in 麻豆原创 Asset Performance Management will aid technicians, inspectors, and managers in visually inspecting asset conditions. Images collected from visual inspections will be able to be easily annotated, displayed, and compiled into inspection alerts, facilitating timely and accurate maintenance decisions.

These advancements will make supply chain management more agile, efficient, and sustainable for customers.

Procurement

With 麻豆原创 Business AI, we鈥檙e transforming procurement into a proactive, data-informed, and agile operation.

For example, AI in 麻豆原创 Ariba Category Management allows procurement organizations to reduce the onboarding time for new category managers and accelerate category strategy and planning development by as much as 56%, improving operating margins and outcomes. 

External Workforce
We have added new generative AI capabilities to the 麻豆原创 Fieldglass portfolio, enabling procurement departments to streamline the recruitment of external workers. Hiring managers can generate and maintain effective job descriptions faster, while project managers can deliver detailed statements of work more rapidly. This enables businesses to quickly identify and engage contractors with the right skills and qualifications. Job descriptions can be easily translated into 21 different languages, and a new resume-ranking capability can surface the most promising candidates, leading to as much as a 15% reduction in work orders. This flexibility allows customers to quickly react to fluctuating workloads and rapidly fill expertise gaps.

Buyer Journey
A new generative AI feature in the buying 360 capability for 麻豆原创 S/4HANA Cloud Public Edition will make procurement more intelligent, allowing buyers to bundle products and services into a single transaction. Users will be able to describe their purchasing needs using natural language, and the system will generate a recommended bundle of products and services ready for purchasing. This will save users considerable time spent searching catalogs for individual items while also enhancing the efficiency of the procurement process. These capabilities are planned for later this year.

Sourcing
By the end of the year, sourcing managers will be able to leverage intelligent product and supplier recommendations to create requests for proposals much faster with Joule integration in 麻豆原创 Ariba Sourcing . These recommendations will consider cost-effectiveness, carbon footprint impact, local compliance regulations, and past transactions, optimizing spend management performance.

Through these enhancements, 麻豆原创 Business AI is making spend management more efficient, responsive, and cost-effective.

Sales, Services, Marketing, and Commerce

麻豆原创 Business AI is revolutionizing sales, services, marketing, and commerce operations, significantly improving productivity and customer engagement. For instance, the 麻豆原创 CX AI Toolkit provides a comprehensive, configurable AI solution for e-commerce, marketing, sales, and service teams. These professionals can use it to streamline content creation tasks and analyze data from across the enterprise 鈥� with e-commerce teams experiencing productivity increases of 50%, larger average order values, and higher conversion rates.

Sales Productivity
New AI capabilities enhance the productivity of sales professionals using 麻豆原创 Sales Cloud. Sales teams can benefit from predictive forecasting, which predicts the likelihood of closing deals across the entire business portfolio. This gives chief revenue officers more comprehensive revenue forecasting, enabling better strategic decisions.

In addition, predictive recommendations will enhance sales efforts by suggesting the best people to involve in a deal and the most suitable products for each customer. This will eliminate manual extensive research on customer needs and preferences, allowing sales teams to focus on selling. AI account summaries and lead boosters will automatically generate detailed reports about sales prospects, combining company details, industry context, and relevant news. As such, we can reduce the manual effort needed for information gathering, giving salespeople more time to close deals.

Digital and User Experiences
Today, a generative AI tool builder already enables system administrators to create customized AI tools for business users leveraging data from 麻豆原创 Commerce Cloud, 麻豆原创 Sales Cloud, and 麻豆原创 Service Cloud solutions. These tools can help personalize content to meet specific customer experience needs.

By the end of this year, 麻豆原创 CX AI Toolkit will also introduce new AI features to enhance customer interactions. An AI shopping assistant will allow shoppers to ask questions using everyday conversational language and receive accurate product information and personalized product recommendations on sites powered by 麻豆原创 Commerce Cloud. This will enable consumers to find products faster and improve their overall shopping experience.

麻豆原创 CX AI Toolkit will make marketing and sales teams more productive. Later this year, a new image creation feature will allow business users to generate new product images for their 麻豆原创 Commerce Cloud catalog using natural language prompts, significantly reducing image production times. They will also benefit from an AI expert recommendations feature, which will identify experts within their organization who can provide needed answers and insights. Instead of wasting time browsing through emails and organizational charts, these professionals will be able to use natural language to express their needs and instantly find the right experts. This capability will be generally available later this year.

These advancements in 麻豆原创 Business AI are transforming sales, services, marketing, and commerce operations, making them more efficient, personalized, and successful.

IT and Platform

麻豆原创 Business AI embedded in 麻豆原创 BTP empowers IT professionals and business experts to extend 麻豆原创 solutions and drive faster, better decision-making throughout the enterprise while accelerating customers鈥� digital transformations.

For example, professional developers are leveraging generative AI capabilities in 麻豆原创 Build Code to accelerate application development by 30%. They can generate data models, services, and samples with a few simple prompts and use natural language to automate business logic and testing.

Application Development
Joule continues to increase developer productivity and simplify the extension of 麻豆原创 applications. Integration with ABAP Cloud will revolutionize the work of the 5 million-strong ABAP developer community, accelerating the development of extensions that interact with 麻豆原创 S/4HANA Cloud Public Edition, 麻豆原创 S/4HANA Cloud Private Edition, and 麻豆原创 BTP, ABAP environment. Trained on over 250 million lines of ABAP code, Joule will be able to outperform industry-leading general-purpose code assistants. We expect more than 10% efficiency increase, based on initial studies and benchmarking. Early adopters are using this innovation to generate ABAP business objects and will soon be able to complete and explain code and create unit tests. The first capabilities will become available later this year.

Joule continues to strengthen 麻豆原创 Build Code capabilities by enabling developers to use generative AI to quickly build 麻豆原创 Fiori front ends for 麻豆原创 S/4HANA Cloud, greatly simplifying clean-core extensions.

These advancements in 麻豆原创 Business AI are empowering IT professionals and business experts to innovate faster, streamline operations, and drive meaningful business outcomes.

Process Innovation
We are continuously strengthening 麻豆原创 BTP with new AI capabilities that accelerate process innovation. Joule integration with 麻豆原创 Build Process Automation empowers process experts to generate automation and workflows using natural language requests without IT intervention. Similarly, Joule integration with the 麻豆原创 Signavio portfolio enables users to leverage natural language requests to generate process models. By empowering users with varying levels of expertise to innovate, customers can accelerate time-to-value and free IT professionals to focus on more strategic tasks.

Process AI solutions from 麻豆原创 Signavio introduce a new collection of generative AI capabilities trained on a large language model (LLM) comprised of expert business process knowledge and more than 5,000 麻豆原创 best practices. Later this year, the process recommender feature will provide ready-to-use, AI-generated business process model recommendations and suggest the most influential measures to assess the performance of a business process. This will offer vital insights into streamlining operations and reducing overhead. A prompt-based process mining feature will automatically generate business-relevant charts and metrics in response to natural language requests for business insights, dramatically lowering the effort for business users who need answers to complex business questions.

Integration
System integration is foundational to the success of enterprise automation initiatives and effective ecosystem collaboration, but connecting heterogeneous systems inside and outside the enterprise is an onerous task. Later this year, developers will be able to take advantage of Joule integration with 麻豆原创 Integration Suite and use natural language to accelerate the design of integration flows across 麻豆原创 and third-party applications.

A new AI-powered anomaly detection capability will recommend remedial actions when API usage patterns or performance fall outside desired thresholds due to unusual errors, traffic surges, suspicious API access, or unusual latency. With performance insights and support for identifying causes and effects, administrators of complex technology landscapes will be able to act faster, achieving greater operational efficiency at a lower total cost of ownership.

Content Creation and Compliance
IT administrators, training managers, and content developers will be able to cut the time spent writing content by up to 20% with automatic content generation and enrichment in 麻豆原创 Enable Now. Customers use the digital adoption platform to improve the adoption, productivity, and efficiency of their software by providing in-application help and e-learning content to users. New generative AI capabilities will add to this value, enabling companies to free up resources for more critical tasks and accelerating knowledge transfer within organizations.

Compliance and IT professionals can leverage Joule for enhanced productivity and precision. Joule integration with the new regulatory change manager tool on 麻豆原创 BTP enables these professionals to evaluate numerous regulatory updates within the context of their business and 麻豆原创 solutions. With insights and quick answers on the typically more than 1,000 annual regulatory changes, users can save 70% of the time usually spent on understanding local and global regulations. The tool provides impact analysis across 麻豆原创 products and solutions, helping customers maintain compliance and seamlessly manage their day-to-day operations. Compliance and IT professionals can also use AI in localization as a self-service for 麻豆原创 S/4HANA Cloud to automate tasks such as payment format localization and form localization, reducing processes that once took days to just a few hours.

Administration
With Joule integrated in 麻豆原创 BTP cockpit, administrators can automate tasks and onboard new users more easily. They can search for information 95% faster and execute transactional tasks or navigation 90% more quickly. The business impact is substantial, as the cockpit helps these professionals manage resources, services, and security, monitor application metrics, and perform actions on cloud applications.

Redefining the capabilities of IT and platform management positions 麻豆原创 customers at the forefront of technological advancement and operational excellence.

Industries

麻豆原创 is delivering trusted AI and machine learning across industries to manage complexity, overcome challenges, and help customers modernize. AI-driven solutions empower businesses to streamline operations and focus on strategic outcomes, driving significant value in their respective fields.

Oil, Gas, and Energy, Agribusiness, and Metals and Mining
Commodities traders and business operators will soon be able to eliminate repetitive data entry tasks with 麻豆原创 S/4HANA for commodity management for physical contracts. With Joule, business operators will be able to create new commodities deals by simply describing the deal using conversational language. Planned for later this year, the capability will allow traders to focus more on producing better commercial outcomes for their clients rather than getting bogged down by administrative tasks.

Industrial Manufacturing
Sales engineers in the manufacturing sector will benefit from more precise product configuration recommendations for complex, configurable products through 麻豆原创 Intelligent Product Recommendation. By simply describing requirements in natural language, sales engineers can generate tailored recommendations that better meet customer needs. Generative AI services can analyze text from diverse sources, such as emails and notes captured in 麻豆原创 Customer Experience solutions or multi-page specification documents such as request for proposals or requests for quotations. 麻豆原创 Intelligent Product Recommendation also provides suggestions based on estimated parameters for lead times and CO₂ footprints, enhancing accuracy and efficiency of product configurations, and ultimately improving customer satisfaction and operational efficiency.

Public Sector and Higher Education
Later this year, Joule will be enhanced with budget and grant management business context for the public sector, higher education, and research industries. With this new context awareness, Joule will streamline and improve the user experience for these regulated industries, enabling users to navigate their financial systems more efficiently and make better strategic decisions. For example, 麻豆原创 S/4HANA users will be able to ask Joule for definitions, summaries, or how-to guidance, saving time and reducing the demand on IT departments. This enhancement will help government organizations and higher education institutions manage their budgets and grants more effectively, reducing extensive training typically required during financial system rollouts.

Breakthrough AI Innovations

麻豆原创 is pushing the boundaries of AI with the new 麻豆原创 Foundation Model for structured data, investing in this cutting-edge AI technology to unlock the value of generative AI technology advancements for structured business data. The goal is to deliver a foundation model that is business-centric by design, providing actionable, job-specific insights directly within 麻豆原创 applications customers use daily.

Traditional AI models require significant effort, expertise, and training data to handle specific tasks on structured data effectively. In contrast, we are developing 麻豆原创 Foundation Model to adapt to multiple use cases with minimal or no fine-tuning. Ultimately, we aim to bring the same transformative power to structured business data that LLMs have brought to text. While LLMs like GPT-4 excel with unstructured text and images, they struggle with the structured data typical in enterprises, often performing between 20 to 50% worse than narrow AI methods. 麻豆原创 Foundation Model will bridge this gap, focusing on structured business data to deliver more accurate predictions and insights while maintaining the versatility of foundation models.

Early benchmark tests are promising, showing 麻豆原创 Foundation Model outperforming narrow AI models by up to 15% on customer datasets after a quick fine-tuning round. This superior performance, combined with its deep understanding of complex business processes, promises to enable businesses to reap the rewards of AI faster and more efficiently.

With 麻豆原创 Foundation Model, we aim to set a new standard for AI in the business domain, transforming how enterprises leverage data to achieve remarkable outcomes. .

Responsible AI

At 麻豆原创, innovation goes hand in hand with responsibility. We are committed to ensuring that AI technologies are not only innovative but also ethical, secure, and sustainable. The strategic use of business data is integral to the success of AI, and by leveraging business data responsibly, we not only enhance the capabilities of AI solutions but also improve outcomes for customers.

麻豆原创 remains firm in its commitment to prioritize data privacy and security as it releases new AI capabilities. The same rigorous standards that govern all 麻豆原创 product development extend to AI offerings. Strong security, product, and data privacy protocols are applied to help ensure AI solutions are developed responsibly, with all AI use cases reviewed by an AI ethics committee.

Building on the fundamental dedication to responsible AI that we started back in 2018, this year, 麻豆原创 is proud to further the commitment by affirming the 10 guiding principles of the UNESCO Recommendation on the . These principles cover proportionality, safety, fairness, sustainability, privacy, human oversight, transparency, responsibility, awareness, and multi-stakeholder collaboration, ensuring that AI solutions respect human rights and contribute to sustainable development.

In line with this commitment, sustainability is a key pillar of 麻豆原创鈥檚 corporate strategy. We are determined to harness the benefits of AI while minimizing its energy footprint and helping customers manage theirs. For example, a new AI-enabled capability in 麻豆原创 Sustainability Footprint Management enhances the accuracy and speed of carbon footprint calculations through automated, intelligent emission factor mapping recommendations, reducing manual effort and improving precision.

By integrating responsible AI practices into innovations, we continue to drive meaningful and sustainable business outcomes for customers.

New AI Partnerships

The vast 麻豆原创 partner ecosystem is fully engaged with 麻豆原创 Business AI. Leading up to and at 麻豆原创 Sapphire, we have announced groundbreaking new and expanded partnerships to accelerate AI adoption across business processes:

• Accenture: Accenture and 麻豆原创 are helping clients transform business models, processes, and customer and employee experiences while realizing value through data and AI. This year at 麻豆原创 Sapphire, Accenture is announcing its plans to embrace the consulting capability for Joule and ABAP code generation in compressed cloud ERP transformations. Additionally, Accenture and 麻豆原创 are teaming on 麻豆原创 Signavio and 麻豆原创 LeanIX solutions to help customers with insights, governance, and other capabilities to achieve their transformation outcomes.
• Apple:We are聽deepening聽 our partnership with Apple to revolutionize the boardroom with AI聽and spatial computing. By integrating Apple Vision Pro with聽business applications from 麻豆原创,聽users can聽create聽an infinite聽enterprise workspace, and聽navigate tasks using聽their eyes, hands, and voice. 麻豆原创 has launched apps like 麻豆原创 Mobile Start and 麻豆原创 Analytics Cloud,聽giving users the ability to create a spatial boardroom to visualize their entire enterprise.聽Now, with 麻豆原创 Build Code, customers can easily bring their 麻豆原创 apps to Vision Pro, iPhone, iPad, and Apple Watch.聽麻豆原创 is also leveraging the power of Apple鈥檚 Neural Engine to run 麻豆原创 AI workloads securely and privately on Apple devices, supercharged by 麻豆原创 BTP.
• Amazon Web Services (AWS): AWS and 麻豆原创 announced an expanded, strategic collaboration to transform modern cloud ERP experiences and help enterprises drive new capabilities and efficiencies with generative AI. Together, 麻豆原创 and AWS are striving to make it easier for customers to adopt RISE with 麻豆原创 on AWS, to improve the performance and efficiency of 麻豆原创 workloads running in the cloud, and to embed generative AI into an enterprise鈥檚 entire portfolio of business-critical applications.
• Boston Consulting Group (BCG): BCG , which recommends opportunities to maximize transformation investments using 麻豆原创 Signavio and 麻豆原创 LeanIX solutions. The offering allows companies to navigate continuous change and prioritizes ways to onboard AI-based innovations.
• Google Cloud: We have better predict and mitigate supply chain risk. The expanded partnership begins by enabling marketing and sales departments to understand the impact of their campaigns on product sales, thus increasing forecast accuracy. This is achieved by integrating Joule and 麻豆原创 Integrated Business Planning for Supply Chain with Google鈥檚 Gemini AI assistant and Google Cloud Cortex Framework鈥檚 Data Foundation. By capturing previously hard-to-detect demand signals, companies can react faster and make more informed, agile decisions in a dynamic global market.
• Meta: We are expanding our partnership with Meta by integrating Meta’s Llama 2 and Llama 3 models into the generative AI hub within 麻豆原创 AI Core as part of our business AI strategy. This integration will allow customers to create dashboards based on rich content with Llama’s qualitative conversational outputs and explore use cases built with Meta Llama 3. The wide range of capabilities offered by Meta Llama 3 will enable users to get assistance with key activities, including the auto-generation of custom scripts to extend dashboards, and the delivery of the most accurate scripts directly in 麻豆原创 Analytics Cloud.
• McKinsey & Company: McKinsey has . Value Finder rapidly analyzes and prioritizes thousands of potential process optimization opportunities for clients 鈥� using a proprietary McKinsey and 麻豆原创 technology portfolio with generative AI 鈥� to capture measurable productivity, growth, and asset efficiency benefits enabled by 麻豆原创 S/4HANA transformations.
• Mistral AI: 麻豆原创 will add new LLMs from Mistral AI, a global company headquartered in Paris specializing in generative AI, to its growing corpus of world-class AI models in generative AI hub. This addition to 麻豆原创 AI Core will make it easier to build generative AI use cases for 麻豆原创 applications.
• NVIDIA: We are for next-generation business operations. ABAP developer capabilities and consulting capability in Joule will take advantage of the NVIDIA AI Enterprise software platform, including NVIDIA NIM inference microservices. NVIDIA NeMo Retriever, a collection of generative AI microservices, will connect AI applications with proprietary data, improving the accuracy and relevance of AI responses. We are also integrating NVIDIA Omniverse Cloud APIs into 麻豆原创 Intelligent Product Recommendation, enabling salespeople to visualize 3D products via digital twins in real time. This integration optimizes the sales process for complex products, helping customers make more informed decisions faster than ever.

To learn more about how 麻豆原创 Business AI delivers real-world results, visit the .

Philipp Herzig is chief artificial intelligence officer of 麻豆原创.

SEATTLE and WALLDORF 鈥� Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and (NYSE: 麻豆原创) today announced an expanded, strategic collaboration to transform modern cloud enterprise resource planning (ERP) experiences and help enterprises drive new capabilities and efficiencies with generative artificial intelligence (AI).

Together, AWS and 麻豆原创 are striving to make it easier for customers to adopt the RISE with 麻豆原创 solution on AWS, to improve the performance and efficiency of 麻豆原创 workloads running in the cloud and to embed generative AI into an enterprise鈥檚 entire portfolio of business-critical applications.

鈥淎WS was the first cloud provider certified to support the 麻豆原创 portfolio and today, thousands of enterprise companies run 麻豆原创 solutions on AWS to get the most out of their mission-critical applications,鈥� said Matt Garman incoming CEO at AWS. 鈥淣ow, AWS and 麻豆原创 are making it faster and easier for companies to apply generative AI to their core business data to become more efficient, responsive and sustainable.鈥�

鈥淧artnerships like this collaboration with AWS are critical as we embed generative AI solutions across our ERP applications so that customers can drive innovation at an accelerated pace,鈥� said Christian Klein, Chief Executive Officer of 麻豆原创 SE. 鈥淚n addition to delivering modern cloud ERP to our joint customers, we are excited to support Amazon on their own transformation journey as they adopt RISE with 麻豆原创 for pioneering areas such as Project Kuiper, Amazon鈥檚 satellite initiative intended to increase global broadband access.鈥�

Generative AI Models from Amazon Bedrock Available on the Generative AI Hub in 麻豆原创 AI Core

The generative AI hub in 麻豆原创 AI Core infrastructure provides customers with secure access to a broad range of large language models (LLMs) that can easily be integrated into 麻豆原创 business applications. With the integration of generative AI models from Amazon Bedrock such as the Anthropic Claude 3 model family and Amazon Titan, 麻豆原创 customers will be able to access high-performing LLMs and other foundation models (FMs) to build applications customized with their own data. Tens of thousands of customers use Amazon Bedrock to easily, quickly and securely build and scale generative AI applications using FMs from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI and Amazon.

With this integration, 麻豆原创 customers may accelerate the adoption of generative AI and modernize key business processes built on 麻豆原创 solutions. These innovations can be used in embedded use cases within RISE with 麻豆原创 and the intelligent scenario lifecycle management functionality as an integration component or side-by-side directly on 麻豆原创 Business Technology Platform (麻豆原创 BTP). 麻豆原创 and AWS plan to expand the use of Bedrock capabilities in the generative AI hub to further enable embedded AI functionality within 麻豆原创鈥檚 portfolio of cloud solutions and applications. This includes additional use cases across finance and product lifecycle management.

麻豆原创 to Use AWS Chips to Train and Deploy Future 麻豆原创 Business AI Offerings

麻豆原创鈥檚 use of AWS Graviton3 chips to support 麻豆原创 HANA Cloud helps to deliver performance gains, cost savings and energy efficiency to 麻豆原创. By using Graviton3-based Amazon Elastic Compute Cloud (EC2) instances, 麻豆原创 has realized up to 30% better compute for analytical workloads and an estimated 45% reduction in carbon footprint for 麻豆原创 HANA Cloud. Now 麻豆原创 and AWS are collaborating on the next generation of Graviton4 for 麻豆原创 HANA Cloud and additional 麻豆原创 applications to continue to improve performance and efficiency. Based on the success of running 麻豆原创 HANA Cloud on AWS Graviton, 麻豆原创 plans to use AWS Graviton to support 麻豆原创 solutions and applications such as 麻豆原创 BTP, 麻豆原创 Datasphere, 麻豆原创 Analytics Cloud and the 麻豆原创 Cloud ALM solution.

麻豆原创 plans to use and chips, purpose built for AI and machine learning (ML) workloads, for training and deploying future 麻豆原创 Business AI offerings. Using Trainium and Inferentia2-based instances in a proof of concept, 麻豆原创 engineers trained and fine-tuned generative AI LLMs in two days versus 23 days with comparable Amazon EC2 instances. By leveraging Trainium’s specialized architecture designed for efficient ML model training, 麻豆原创 can accelerate the development process while maintaining high levels of accuracy and reliability.

Increased Performance for RISE with 麻豆原创 on AWS

Thousands of customers have selected RISE with 麻豆原创 on AWS to run their largest, most complex, global 麻豆原创 solution implementations. Now generally available, the next-generation Amazon EC2 High Memory U7i instances offer up to 32TiB of memory in a single instance and provide customers the memory and flexibility they need to support expanding 麻豆原创 HANA database requirements. Amazon EC2 High Memory U7i instances are the first DDR5 memory-based 8-socket offering by a leading cloud provider to improve the performance of memory-intensive applications such as 麻豆原创 S/4HANA Cloud as part of RISE with 麻豆原创.

Amazon鈥檚 Project Kuiper Selects RISE with 麻豆原创

Amazon companies, including Twitch, Zappos.com and Zoox Inc., already use 麻豆原创 software on AWS to support their operations. And now Project Kuiper鈥擜mazon鈥檚 satellite broadband network鈥攊s deploying RISE with 麻豆原创 to support its complex supply chain and manufacturing operations and get the best performance and most value out of its mission-critical 麻豆原创 software. Running 麻豆原创 solutions on AWS allows Kuiper to take advantage of the latest 麻豆原创 capabilities embedded in RISE with 麻豆原创 to help drive impactful transformation, accelerating company decisions and enhancing overall performance and productivity.

Hundreds of millions of people lack adequate internet access and Project Kuiper鈥檚 goal is to help close the digital divide by delivering fast, affordable broadband to a wide variety of customers operating in places without reliable internet connections. Delivering on that vision requires Kuiper to build satellites at an unprecedented rate. RISE with 麻豆原创 allows the Project Kuiper team to leverage the most reliable and scalable infrastructure to run a modern, cloud ERP as a managed service, so they can focus on innovation instead of IT management.

To learn more about the 麻豆原创 and AWS partnership, tune in to the , June 3-5, in Orlando.

Visit the 麻豆原创 News Center. Follow 麻豆原创 at .

About Amazon Web Services

Since 2006, Amazon Web Services has been the world鈥檚 most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with announced plans for 18 more Availability Zones and six more AWS Regions in Malaysia, Mexico, New Zealand, the Kingdom of Saudi Arabia, Thailand, and the AWS European Sovereign Cloud. Millions of customers鈥攊ncluding the fastest-growing startups, largest enterprises, and leading government agencies鈥攖rust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit .

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth鈥檚 Most Customer-Centric Company, Earth鈥檚 Best Employer, and Earth鈥檚 Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit  and follow @AmazonNews.

About 麻豆原创

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

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2023 Annual Report on Form 20-F.
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Together with implementation partner ABeam Consulting, the migration will leverage NEC鈥檚 generative AI technology and 麻豆原创鈥檚 natural language, generative AI Joule copilot.

NEC, a Japan-based multinational leader in the integration of IT and network technologies, was seeking to optimize costs and streamline data systems to increase integration across its lines of business. As part of advancing its digital transformation, NEC will migrate from on-premise 麻豆原创 S/4HANA software to 麻豆原创 S/4HANA Cloud and adopt a clean-core approach, which emphasizes standard offerings and extends them while also reducing future upgrade and operational costs.

NEC is currently operating a large-scale system that includes 1,200 add-ons and more than 200 external interfaces. To migrate to the cloud, NEC will use generative AI to facilitate a clean-core transformation, streamline migration costs and improve operational efficiency. NEC鈥檚 generative AI and 麻豆原创鈥檚 Joule copilot for natural language processing will automate critical processes such as add-on analysis, report interpretation, code generation from specifications and test automation. Joule is 麻豆原创鈥檚 generative AI assistant that understands the user鈥檚 unique role and acts as a work copilot across 麻豆原创 applications to streamline tasks. NEC will be among the first companies to leverage AI tools from 麻豆原创 to streamline its migrations.

“NEC sees itself as the first customer of its own innovations, applying cutting-edge technologies internally and sharing the gained insights and know-how with customers and society,鈥� NEC President and CEO Takayuki Morita said. 鈥淭his milestone implementation with 麻豆原创 creates a new industry blueprint for other businesses looking to migrate to the cloud, underscoring NEC’s commitment to leading by example in technological adoption and societal contributions.鈥�

By migrating to 麻豆原创 S/4HANA Cloud, NEC anticipates more-efficient system operations by tapping into AI to support version upgrades and reduce future operation-related costs while being able to quickly respond to market changes. By leveraging innovative technologies including AI, NEC aims to digitally drive societal and industry transformations. This migration to the cloud is a key part of NEC’s 2025 mid-term management plan focusing on internal, customer and societal digital transformations.

鈥淥ur shared vision with NEC of creating a sustainable society through digital transformation is the foundation for our long-term partnership,鈥� said Christian Klein, CEO and member of the Executive Board of 麻豆原创 SE. 鈥淭his project marks a milestone in our relationship, and we鈥檙e excited to support NEC on their continued transformation journey.鈥�

Visit the 麻豆原创 News Center. Follow 麻豆原创 at .

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE: 麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

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Global Customer Center: +49 180 534-34-24
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2023 Annual Report on Form 20-F.
漏 2024 麻豆原创 SE. All rights reserved.
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WALLDORF 鈥� (NYSE: 麻豆原创) and Amazon Web Services Inc. (AWS), an Amazon.com Inc. company (NASDAQ: AMZN), today announced that 麻豆原创 HANA Cloud now supports AWS Graviton processors.

麻豆原创 is extending its cloud-native, in-memory database to AWS Graviton-powered Amazon Elastic Compute Cloud (Amazon EC2) instances to take advantage of AWS鈥檚 price, Performance and energy efficiency benefits.

Thousands of joint customers depend on solutions from AWS and 麻豆原创 to run their mission-critical business processes. As customers build data-driven, intelligent applications that enable users to make more precise and faster decisions, their compute and memory demands grow. These customers require solutions that lower costs without compromising performance and energy efficiency. By choosing to run 麻豆原创 HANA Cloud on AWS Graviton, 麻豆原创 can optimize its compute costs and allow its customers to benefit from these efficiencies.

鈥淎WS and 麻豆原创 have a long history of delivering value in a way that is environmentally responsible,鈥� said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 麻豆原创 SE. 鈥淭his collaboration with AWS on the use of Graviton demonstrates our commitment to reduce the impact of our technologies on the environment while continuing to provide value in the solutions we bring to market.鈥�

鈥淥ne of the most visible ways we are innovating is improving the power efficiency of AWS chips,鈥� said David Brown, vice president of Amazon EC2 at AWS. 鈥淥ur Arm-based AWS Graviton3 processors deliver the best performance per watt of energy use in Amazon EC2, bringing a powerful combination of energy efficiency and price performance to 麻豆原创.鈥�

Arm-based AWS Graviton processors leverage AWS鈥檚 extensive expertise in systems design and cloud infrastructure to deliver the best price performance over comparable x86-based instances for a variety of workloads running in Amazon EC2. By migrating 麻豆原创 HANA Cloud to AWS Graviton-based Amazon EC2 instances, 麻豆原创 has seen up to 30% better compute performance for analytical workloads and lowered its compute costs by 15%. And with Graviton3-based instances using up to 60% less energy for the same performance than comparable EC2 instances, 麻豆原创 can reduce the compute carbon footprint of the workloads of 麻豆原创 HANA Cloud by an estimated 45%. AWS Graviton3 also supports the latest DDR5 memory, which provides 50% higher memory bandwidth compared to DDR4, to improve the performance of memory-intensive applications.

As a signatory of Amazon鈥檚 The Climate Pledge, 麻豆原创 is actively working alongside 427 organizations in 38 countries to help reduce carbon emissions and ultimately improve the environment. By choosing to run 麻豆原创 HANA Cloud on AWS Graviton, 麻豆原创 can further its efforts to reduce its carbon footprint and support efforts to address the climate crisis. 麻豆原创 and AWS have a longstanding relationship spanning back to 2008, when 麻豆原创 developed and tested the 麻豆原创 NetWeaver technology platform 鈥� the underpinning of 麻豆原创 S/4HANA and many other cloud solutions from 麻豆原创 on AWS. Today, 麻豆原创 customers continue to use AWS across 麻豆原创鈥檚 cloud enterprise portfolio through the RISE with 麻豆原创 solution and 麻豆原创 Business Technology Platform (麻豆原创 BTP). In addition, the 麻豆原创 NS2 Secure Data Cloud service, which is designed for public sector and defense customers with uniquely stringent security and compliance requirements, uses AWS to deliver trusted and secure solutions. Amazon companies, including Twitch, Zappos.com and Zoox Inc., also rely on 麻豆原创 software on AWS to support their national and global operations.

麻豆原创 plans to expand its use of AWS Graviton in the future to take advantage of the performance gains, cost savings and energy efficiencies.

To learn more about 麻豆原创 HANA Cloud, visit . To learn more about AWS Graviton processors, visit .

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Top image: AWS Graviton3 processor. Courtesy of AWS.

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2022 Annual Report on Form 20-F.
漏 2023 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

This collaboration builds on the success of the longstanding 麻豆原创 and AWS partnership by bringing together the technology, solutions, and flexibility that customers need to help them succeed in the digital economy. The companies have had a strategic relationship for more than a decade with thousands of customers.

This technology-driven project and joint investment is significant in terms of bringing together two powerhouse engineering organizations to drive innovation and support customers鈥� journeys to becoming sustainable, intelligent enterprises. In fact, 麻豆原创 is a signatory of committing to net-zero carbon and has also accelerated its sustainability commitment to 2030.

Entering the new year, the companies have prioritized delivering the value of RISE with 麻豆原创 on AWS by providing customers with the ability to accelerate cloud adoption together with a world-class collection of innovation and extensibility services. This next milestone in the partnership includes:

• Use of a joint reference architecture to support complex customer requirements
• Joint marketing planning across multiple channels, such as conferences, 麻豆原创 marquis and AWS events, as well as demand generation campaigns
• Global sales motions in a common framework for the teams to work jointly with systems integrator partners
• Dedicated personnel around the world dedicated to focus on the 麻豆原创/AWS go-to-market

Since 2008, the partnership has been built on providing the right cloud solutions that enable customers to transform across industries.

Take, for example, the success seen with Tevva. RISE with 麻豆原创 on AWS is helping the hydrogen-electric and battery-electric vehicle manufacturer accelerate the delivery of zero-emission trucking throughout the UK by coupling 麻豆原创 ERP expertise with AWS infrastructure services all in a sustainable manner. With this commitment to help businesses run as intelligent and sustainable enterprises, AWS and 麻豆原创 are delighted to help companies like Tevva adopt the best practices and scalability needed to deliver on sustainability objectives.

Another example that illustrates the power of this partnership is the use of 麻豆原创 Business Technology Platform (麻豆原创 BTP), which is globally available on AWS. The companies have developed a that enables extended use case scenarios and showcases the combined strengths of federated 麻豆原创 and AWS services. The joint reference architecture will provide customers guidance on how to best assemble 麻豆原创 and AWS to realize digital transformation. (ALP), Taiwan鈥檚 largest institutional property developer, implemented 麻豆原创 BTP together with numerous AWS services to fuel innovation and expand its warehousing capabilities.

鈥淎WS and other infrastructure providers are becoming increasingly important to 麻豆原创鈥檚 business as we help our customers benefit from digital transformation in the cloud with RISE with 麻豆原创,” said Elena Ord贸帽ez del Campo, senior vice president and strategic partner officer, 麻豆原创. “Building on our partnership of 15 years, we move into the new year with aligned go-to-market teams in every region, an industry-leading portfolio of solutions enabled by our joint reference architecture, and a growing selection of co-innovations — all ready to help accelerate value for our customers. We look forward to an incredible 2023 together and beyond.”

“This multiyear collaboration will facilitate stronger marketing and co-selling programs to complement our respective technologies,” said Kathleen Curry, director of AWS Worldwide Strategic Alliances. “麻豆原创 frequently leans in with AWS to deliver to customers a unified experience as they innovate and evolve their businesses in the ever-dynamic economic environment.聽 This collaboration is an important milestone in our partnership and helps customers modernize faster with accelerated time to value, price-performance, reliability, and sustainability.”

With a partnership focused on transformation, innovation, and delivering for our customers, AWS and 麻豆原创 enter 2023 more ready than ever to help customers adopt cloud solutions that allow them to innovate faster and capitalize on the digital disruptions within their industries.

Learn more about the AWS and 麻豆原创 .

Dan Finley is global vice president and head of AWS Alliance at 麻豆原创.
RJ Bibby is global 麻豆原创 Alliance lead at Amazon Web Services.