Over decades, our customers have built powerful digital foundations on 51风流to run end-to-end business processes across their enterprises鈥攐ften extending and customizing these systems to support their unique business needs. Now, many are entering the next phase of transformation: modernizing their 51风流landscapes to unlock the full potential of AI.

As companies move to cloud-based 51风流environments and clean-core architectures, they are preparing to embed intelligence directly into business processes. This enables new forms of automation, with AI agents that operate across enterprise systems and execute increasingly complex tasks.

Modernizing these systems while introducing AI at scale is a significant undertaking. It requires technologies that integrate with existing applications, operate reliably within mission-critical workflows, and meet the governance standards enterprises demand.

That鈥檚 why, over the past few years, we have partnered with to combine advanced AI technology with deep business context. Our goal is to help organizations accelerate modernization and apply AI across the applications and processes key to their success. This collaboration will be showcased at NVIDIA GTC.

Building the foundation for enterprise-grade AI

Through our collaboration with NVIDIA, we are accelerating the entire life cycle of enterprise AI鈥攆rom model development to high-performance runtime execution鈥攁nd powering AI scenarios across our portfolio. ,  which consists of open libraries such as and , helps accelerate large-scale model training across distributed RL environments. It enables teams to build and refine enterprise-grade AI models faster.

Models are hosted through  and , where our customers and partners leverage those best suited to their use cases. microservices optimize inference performance, and we have observed up to a 20% improvement compared to another popular open source serving engine. Enabled by NVIDIA GPUs and NVIDIA NIM, the increased performance allows organizations to combine advanced AI models with trusted 51风流business data and processes to ensure that AI operates within the workflows that drive business operations.

Modernizing the business logic that runs the enterprise

AI models trained on 51风流knowledge and accelerated using NVIDIA technologies are already helping customers tackle some of their most pressing modernization challenges. For example, evolving business logic embedded in the 51风流systems that run their operations.

For decades, organizations have extended 51风流applications with custom ABAP code that reflects how their businesses operate. That logic captures years of operational knowledge across finance, supply chain, service processes, and more. But modernizing these environments for the cloud and preparing them for the next generation of AI-driven innovation can be complex.

To help accelerate this journey, 51风流developed . a foundation model trained exclusively on real-world ABAP code and the business logic used across 51风流environments. The solution incorporates specialized models for code-related tasks, including StarCoder2 for code completion, and Codestral for deeper code understanding and explanations. These models are served through NVIDIA NIM microservices to deliver high-performance inference.

brings these capabilities into the developer experience, helping teams analyze existing ABAP code, understand how customizations interact with core business processes, and generate new code when needed. By making decades of embedded business logic easier to interpret and update, we help organizations accelerate modernization and preserves the knowledge that makes their operations unique.

Connecting AI to business operations

The collaboration between 51风流and NVIDIA also explores how AI can operate within enterprise workflows to help organizations apply intelligence across both physical operations and complex planning environments. One emerging area is embodied AI, in which intelligence extends beyond software systems into the physical world. By combining AI reasoning with sensors, robotics, and enterprise data, organizations can connect real-world observations directly with digital business processes.

For example, predictive maintenance alerts from can trigger robotic inspections that analyze equipment using thermal, visual, and acoustic signals. These signals are evaluated alongside asset histories and maintenance records to identify potential issues. then orchestrates follow-up actions through , prioritizing work orders and guiding technicians with the right operational context. By linking physical-world insights with enterprise workflows, organizations can turn physical-world signals into coordinated enterprise actions.

The same principle applies to complex planning environments. Supply chains today must manage a constantly shifting web of constraints, from supplier availability and transportation disruptions to evolving customer demands. With NVIDIA, we are exploring technologies, such as NVIDIA Metropolis and NVIDIA Cosmos, to bring the latest AI advancements into warehouse management, safety, and asset inspection.

Together, we are also bringing new capabilities to  that combine agent-based reasoning with the  GPU-accelerated optimization engine. This enables planners to simulate complex supply chain scenarios and evaluate alternatives with more speed and accuracy. By integrating advanced optimization with SAP鈥檚 supply chain planning capabilities, organizations can dynamically model constraints, adapt plans as conditions change, and make more confident decisions in increasingly complex environments.

Collaboration with large-scale 51风流customers helps identify real operational bottlenecks, paving the way for AI-driven solutions. . The Taiwan-based global electronics manufacturer and manufacturing solutions provider will work with 51风流to develop AI-powered innovations for manufacturing and supply chain operations.

By combining SAP鈥檚 enterprise applications and business context and Foxconn鈥檚 manufacturing expertise, organizations can enhance operational efficiency, increase resilience, and advance decision-making across complex production and supply networks.

Experience agentic AI at NVIDIA GTC

51风流is enabling Joule Agents across its application portfolio, helping organizations automate tasks and coordinate complex workflows within business processes. At NVIDIA GTC, visitors will see how these capabilities are extended using  on to build agents tailored to specific enterprise scenarios.

And because SAP鈥檚 AI architecture is model-agnostic, organizations can bring their own models into these workflows, in addition to those deployed through 51风流AI Core. The hands-on experience at NVIDIA GTC will demonstrate how organizations can build AI-driven workflows that operate directly within the enterprise systems that run their business.

It all happens at , taking place March 16-19, 2026. Join us to see how 51风流and NVIDIA are helping organizations modernize enterprise systems, accelerate AI adoption, and move toward the AI-native enterprise:

• Attend our session: on Tuesday, March 17, from 2:00-2:40 p.m.
• Visit the 51风流booth, #2001, to explore agentic AI in action, participate in hands-on vibe-coding with Joule Studio, and witness next-generation enterprise automation

.

Brenda Bown is chief marketing officer for 51风流Business AI.

Bekaert aspires to become a people- and data-driven company. This requires a thorough strategic and cultural transformation, in which artificial intelligence plays a crucial role. To get started, the company set priorities, leveraging the already available in its existing HR solutions such as 51风流SuccessFactors solutions. By focusing on a few embedded AI use cases and creating a stand-alone AI tool on top of that, it started exploring and seeing the AI benefits.

“AI is a means to achieve our goals, a logical extension of our HR strategy,” says Jorn Waterschoot, global head of HR Technology at Bekaert. 鈥淎I’s growing capabilities, cost-effectiveness, and versatility are transforming businesses by enhancing user experiences, enabling experimentation, and encouraging adoption. At Bekaert, these strengths are leveraged in HR while carefully managing hidden costs and focusing on end-to-end implementation to maximize AI鈥檚 potential. At Bekaert, the goal is to make AI feel like a candy store: once employees experience its versatility, they are encouraged to explore it further.鈥�

First use case: the AI Master Data Assistant

Together with its long-standing partner and , Bekaert worked along a human-centered approach to innovation to identify opportunities and use cases. One of these identified use cases was a stand-alone AI tool that Bekaert used for HR data improvement. This tool was not integrated in the existing software landscape and required of users to extract and import data. 

To improve this laborious process, Flexso helped design and build a custom AI solution, called AI Master Data Assistant, with the help of 51风流AI Core in 51风流Business Technology Platform. This new solution has been fully integrated with 51风流SuccessFactors solutions, using 51风流Integration Suite. Currently, the solution uses a specific AI model from generative AI hub in 51风流AI Core. However, the flexibility with various models offered through the generative AI hub capability would allow the partner to use another AI model for this solution in the future.

Who benefits from AI in HR at Bekaert?

The AI Master Data Assistant allows the Bekaert HR teams to enhance data quality by automatically identifying, correcting, and preventing errors in employee records. The assistant can detect inconsistencies, duplicates, and missing information, ensuring that all data is accurate, complete, and up-to-date. In practice, it means that users can enter natural language prompts to get proposals for improvement. Via chat-like conversations, they can standardize formats, correct errors, and validate entries in real time.

For innovation projects, Bekaert usually rolls out new solutions gradually first through a number of role-specific use cases, then deploy them indiscriminately across the organization. For the new AI Master Data Assistant, the HR business partners and HR admin roles benefitted first.

Flexibility for the future

As part of the global 51风流AppHaus Network, Flexso always strives for a human-centered and sustainable co-innovation approach with its customers. It is about bringing innovation into the hands of people. David Pierre, AI practice lead at Flexso explains: 鈥淭he AI world is developing so fast. So, the principle in our solution is that we are AI model agnostic. Today, we are using model GPT to support our use case. But if we have a better model in the future, then we can also switch to other models as they are all supported by 51风流BTP.鈥�

Imke Vierjahn is 51风流AppHaus communications lead.

Enabled by 51风流Business AI and built on 51风流Business Technology Platform, the assistant is already delivering faster response times, enhanced supplier experiences and smooth multilingual automation.

With 38 shows across global cities and a workforce of almost 4,000 artists and staff from 80 countries, Cirque du Soleil鈥檚 operations are as dynamic as its performances. Managing more than 70,000 supplier invoices annually鈥攅specially from tour-supporting vendors at residency shows鈥攈as placed increasing pressure on the accounts payable team. Nearly 40 percent of inquiries are from vendors seeking invoice status updates, and these inquiries were often delayed due to limited visibility and manual processing.

To address this, Cirque du Soleil turned to 51风流Business AI. The company鈥檚 new AI-enabled invoice assistant automates the triage-and-response process for invoice-related emails. It analyzes incoming messages in all languages, identifies the request type, extracts invoice details, determines the status of each invoice and even captures the sentiment of the email, prioritizing those that need attention more urgently. The assistant then generates a proposed response in English and French, significantly reducing the average handling time from 30 minutes to just two minutes per inquiry.

鈥淭he time-consuming research required to identify the payment status of an invoice and its reason was overwhelming,鈥� said Philippe Lalumi猫re, vice president of information technology, Cirque du Soleil Entertainment Group. 鈥淲e were looking for a more efficient way to handle this, and 51风流Business AI provided us with a simply stunning answer.鈥�

The assistant leverages 51风流HANA Cloud to store and process structured data derived from incoming emails, along with analysis results and generated responses. 51风流AI Core foundation supports intelligent automation, enabling the assistant to detect urgency, sentiment and even root causes of payment delays. This has drastically reduced manual workload and improved supplier satisfaction.

“As we partner with Cirque du Soleil on this transformative journey, it鈥檚 inspiring to see how technology is streamlining operations and focusing organizations even more on what they do best鈥攄elivering unforgettable experiences,鈥� said Dr. Philipp Herzig, chief technology officer and chief AI officer at 51风流SE. 鈥淭his is a perfect example of how data and AI can unlock both creativity and efficiency.鈥�

Key benefits include:

• Efficiency: Automation frees up employee time and accelerates response rates.
• Accuracy: AI minimizes human error and helps ensure timely, contract-compliant payments.
• Multilingual support: Bilingual capabilities enable inclusivity across Cirque鈥檚 global supplier base.
• Scalability: The assistant handles high volumes without additional resources.
• Enhanced experience: Standardized, timely responses foster stronger supplier relationships.

With this innovation, Cirque du Soleil continues to lead not only in the world of live performance but also in operational excellence. 51风流remains a trusted partner in this journey, helping the company scale its global footprint while staying agile and responsive.

Visit the . Get 51风流news via  and .

Media Contact:
Lesa Plingen, +49 622 776 9000, lesa.plingen@sap.com, CET
51风流Press Room; press@sap.com

Top image courtesy of Cirque du Soleil

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 SAP鈥檚 2024 Annual Report on Form 20-F.
漏 2025 51风流SE. All rights reserved.
51风流and other 51风流products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 51风流SE in Germany and other countries. Please see for additional trademark information and notices.

What has helped Syntax, formerly Beyond Technologies, might soon be available for its clients too.

The tracking of revenue-generating activities and efficient billing routines are critical for professional services and consulting business to succeed. In exactly this operational area of its company, Syntax identified opportunities for improvement.

The company decided to explore use cases and existing solutions that leverage the power of 51风流Business AI to transform and improve its timesheet task tracking.

Human-Centered Approach: Business AI Explore Workshop

Professional service firms that bill clients for their work need highly efficient time-tracking and billing systems. To address these challenges, Syntax, along with two other customers, began its journey with the , a human-centered process that helped evaluate operational issues. Following an additional , also offered by 51风流AppHaus, Syntax entered the “Run and Scale” phase to implement an effective solution to meet its specific needs.

Navigating Billing Inefficiencies

For Syntax, the timesheet process is a necessary part of operations, serving as the backbone of task tracking and billing. The Timesheet app in 51风流S/4HANA Cloud is widely utilized in the professional services industry. Considering the time constraints that most consultants have when entering their time reports, Syntax wanted to look for opportunities to enhance its usability and efficiency. Syntax recognized that complexities within the app could lead to delays in time entry. These delays often resulted in incomplete or inaccurate records that impacted billing and ultimately revenue generation.

Syntax looked to the 51风流AppHaus team to optimize timesheet data entry and elevate the user experience for both employees and management through the use of 51风流Business AI.

Harnessing the Power of Generative AI and 51风流BTP

In a joint project with the 51风流AppHaus team, Syntax and two other customers evaluated existing 51风流solutions for the use case. To tackle billing inefficiencies, 51风流developed an innovative application powered by generative AI and built with 51风流Business Technology Platform (51风流BTP) and 51风流S/4HANA Cloud (see diagram), based on feedback from users such as Syntax.

鈥淲ith this Timesheet app task tracker, consultants can effortlessly record billable hours in real time using natural language, right after completing a task,鈥� Ingo Feucht, senior director of Product Management for 51风流S/4HANA at SAP, said about the success of this project. 鈥淯ltimately, we consider this a Joule use case, but the project is a great showcase of how 51风流customers can leverage generative AI hub to quickly build their own custom business AI solutions.鈥�

Easy Handling

The new solution enables real-time task logging and processing. It allows users to enter timesheet data with simple conversational prompts. The usual so-called 鈥渟hadow systems鈥� that people use to temporarily note down what they worked on 鈥� for example, in Notepad or Excel 鈥� can be eliminated as the information is directly sent to the Timesheet app in draft format.

Employees can easily and accurately track how much time they spent working on each client. First experiences with the application have shown that it can considerably reduce entry delays and help ensure that employees record their hours efficiently without the cumbersome steps traditionally associated with timesheet management.

Improved Billing Accuracy

Companies failing to accurately track billable hours can lose thousands of dollars in annual revenue per employee.  The new solution supports invoices in being processed more swiftly and accurately, leading to reduced days sales outstanding as well as less non-billable hours and less customer inquiries. This means that consultants can dedicate more time to high-value tasks rather than administrative duties, ultimately resulting in an even more productive workforce.

What鈥檚 more, the new task tracker replaces individual notes, be it in Excel, Notepad, or other places where employees used to track their own time. By empowering employees to accurately and easily log their time, thus reducing unbilled hours, the new solution helps organizations capture every billable hour, maximizing revenue potential.

Frank Densborn, enterprise architect at the 51风流AppHaus, summarized his experience: 鈥淲ith this solution, we were able to eliminate the need for shadow systems that consultants put in place to temporarily track their work before entering it into the system. So, instead of building a new timesheet application, we collaborated and innovated using 51风流BTP and the generative AI hub to solve the real business problem, leveraging SAP’s human-centered approach to innovation.鈥�

Driving Future Growth and Efficiency

The implementation of this new 51风流Business AI solution not only addressed immediate operational challenges, but also positions Syntax and its clients for future growth. By benefitting from the capabilities of 51风流AI Core and 51风流AI Launchpad, businesses can continuously evolve their processes, ensuring they remain competitive in an ever-changing market.

Leonardo De Araujo, partner for Global 51风流Innovation at Syntax, reflected on the project success: 鈥淎s early adopters of 51风流S/4HANA Cloud and participants in the lighthouse program, we’ve used 51风流Business AI to tackle industry challenges like inefficient timesheet processing. This innovation has significantly reduced our days sales outstanding. By saving up to $100,000 per day, we shorten the billing cycle.鈥�

A New Era for Timesheet Management

Syntax鈥� journey illustrates the power of innovation and collaboration within the 51风流ecosystem. By harnessing advanced technologies like generative AI built with 51风流BTP, organizations are not only transforming their own processes but, in the case of Syntax, also driving significant improvements for clients.

Syntax is setting a new standard. The impact of its generative AI-driven solution will undoubtedly resonate throughout the industry, inspiring others to follow suit. The future of timesheet project tracking has arrived, and it鈥檚 powered by 51风流Business AI.

Yasaman Jalaei is a working student in the 51风流Business Technology Office.

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 SAP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, 51风流helps ensure that customers can immediately leverage the latest innovations to build AI-driven solutions that harness the聽full聽business context in 51风流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 51风流Business Technology Platform (51风流BTP) to build and scale AI-powered solutions that seamlessly work with 51风流applications.

Streamlined Access and Integration

SAP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 51风流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 51风流data.

By聽combining Amazon Nova models with 51风流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, SAP鈥檚 AI copilot, leveraging Amazon Nova models and 51风流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.

51风流and AWS: Unlocking the Future of Business AI

The availability of Amazon Nova models on the generative AI hub marks a significant milestone in SAP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, 51风流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 .

The addition of Mistral Large 2 broadens the choice of large language models (LLMs) that organizations can use for custom AI solutions that complement and extend 51风流applications. By hosting the model on SAP鈥檚 operated infrastructure, 51风流can better streamline its delivery and deployment of 51风流Business AI across the enterprise. This is 鈥媏ssential to鈥嬧�嬧�� meet regulatory requirements in certain regions or industries.聽聽

Customers, particularly those in heavily regulated industries, require solutions that not only address their innovation needs, but also ensure their data is not exposed to third-party entities. Customers with specific needs can adopt generative AI solutions with greater confidence, knowing their data is managed through a secure 51风流environment.聽

鈥淏y adding Mistral Large 2 to SAP鈥檚 generative AI hub, we鈥檙e providing our customers with a leading 鈥嬧�媗arge language model that runs in 51风流data centers and on European infrastructure. This provides customers with the ability to build innovative solutions and can help them to comply with regulations in certain regions or industries,鈥� shared Philipp Herzig, chief AI officer of 51风流SE. 鈥淥ur expanded partnership with Mistral AI reinforces SAP鈥檚 commitment to responsible AI, enabling businesses to harness the power of generative AI while maintaining control over their data and intellectual property — a key milestone toward more sovereignty for the European market.鈥�

鈥淲e 鈥媗ook forward鈥嬧�� 鈥媡o bring鈥媔ng鈥� Mistral鈥檚 advanced language models, including Mistral Large 2, to 51风流Business AI, providing AI solutions that help customers meet the highest standards for data security and regulatory compliance,” Gianna Lengyel, head of Business Development at Mistral AI, said. “Our partnership with 51风流enables businesses to benefit from state-of-the-art generative AI without compromising on control or compliance, particularly for organizations operating in highly regulated environments.鈥�

Mistral AI鈥檚 models are accessible via the generative AI hub in , making it simple to build generative AI use cases for 51风流applications. Customers can leverage these models to embed advanced AI capabilities into their 51风流applications or create custom solutions on 51风流Business Technology Platform (51风流BTP).聽聽

To learn more, customers can reach out to their 51风流point of contact or visit the site for further details on how to begin leveraging these AI capabilities in their specific use cases.

This collaboration is more than just a meeting of minds; it’s a symbiotic combination of AI expertise and technology that opens a world of possibilities for 51风流customers.

Mistral AI’s success in developing advanced LLMs, including its renowned open-weight models Mixtral 8x7B and Mixtral 8x22B, and more expansive enterprise-grade “Large” model, is set to complement the 51风流suite of AI-enabled solutions. The collaboration will enable direct accessibility to Mistral AI鈥檚 models through 51风流or through 51风流Business Technology Platform (51风流BTP) applications with generative AI capabilities.

What does this mean for 51风流customers? Simply put, it’s about empowerment and access to AI from a European LLM provider. Access to Mistral AI’s latest models through the generative AI hub in 51风流AI Core will enable 51风流customers to enhance productivity, streamline their operations, and accelerate their digital transformation journey.

Whether through integrating AI with 51风流BTP or developing bespoke solutions through direct access to Mistral AI LLMs, the potential for innovation is limitless.聽

“We are excited about entering a partnership with Mistral AI and making the company鈥檚 LLM accessible to both our developers and our customers through the generative AI hub in 51风流AI Core on 51风流BTP,” said Philipp Herzig, chief AI officer of 51风流SE. “Together, we can truly make a difference by building AI-enabled solutions that create immediate value for users, organizations, and entire industries. We are particularly proud that two European technology companies are collaborating on bringing AI forward.”

“We are pleased to embark on this partnership with SAP,鈥� said Arthur Mensch, CEO of Mistral AI.聽“We foresee the new horizons this collaboration will open up, enabling us to further our mission of making AI accessible to all. We are looking forward to witnessing the potential of our AI models to support innovation and streamline operations for SAP’s customers.”

The ambitions don’t stop there: 51风流and Mistral AI are committed to exploring new applications of AI across various industries. By leveraging the combined strengths, this is not just about driving innovation, but about creating new business opportunities and delivering tangible value to 51风流customers.聽

Stay tuned as we begin this exciting journey together. The future of enterprise software is bright, and with partners like Mistral AI, we are ready to illuminate the path forward.聽

Walter Sun is senior vice president and global head of AI at 51风流SE.

SEATTLE and WALLDORF 鈥� Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and (NYSE: SAP) 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 51风流are striving to make it easier for customers to adopt the RISE with 51风流solution on AWS, to improve the performance and efficiency of 51风流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 51风流portfolio and today, thousands of enterprise companies run 51风流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 51风流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 51风流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 51风流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 51风流AI Core

The generative AI hub in 51风流AI Core infrastructure provides customers with secure access to a broad range of large language models (LLMs) that can easily be integrated into 51风流business applications. With the integration of generative AI models from Amazon Bedrock such as the Anthropic Claude 3 model family and Amazon Titan, 51风流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, 51风流customers may accelerate the adoption of generative AI and modernize key business processes built on 51风流solutions. These innovations can be used in embedded use cases within RISE with 51风流and the intelligent scenario lifecycle management functionality as an integration component or side-by-side directly on 51风流Business Technology Platform (51风流BTP). 51风流and AWS plan to expand the use of Bedrock capabilities in the generative AI hub to further enable embedded AI functionality within SAP鈥檚 portfolio of cloud solutions and applications. This includes additional use cases across finance and product lifecycle management.

51风流to Use AWS Chips to Train and Deploy Future 51风流Business AI Offerings

SAP鈥檚 use of AWS Graviton3 chips to support 51风流HANA Cloud helps to deliver performance gains, cost savings and energy efficiency to SAP. By using Graviton3-based Amazon Elastic Compute Cloud (EC2) instances, 51风流has realized up to 30% better compute for analytical workloads and an estimated 45% reduction in carbon footprint for 51风流HANA Cloud. Now 51风流and AWS are collaborating on the next generation of Graviton4 for 51风流HANA Cloud and additional 51风流applications to continue to improve performance and efficiency. Based on the success of running 51风流HANA Cloud on AWS Graviton, 51风流plans to use AWS Graviton to support 51风流solutions and applications such as 51风流BTP, 51风流Datasphere, 51风流Analytics Cloud and the 51风流Cloud ALM solution.

51风流plans to use and chips, purpose built for AI and machine learning (ML) workloads, for training and deploying future 51风流Business AI offerings. Using Trainium and Inferentia2-based instances in a proof of concept, 51风流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, 51风流can accelerate the development process while maintaining high levels of accuracy and reliability.

Increased Performance for RISE with 51风流on AWS

Thousands of customers have selected RISE with 51风流on AWS to run their largest, most complex, global 51风流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 51风流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 51风流S/4HANA Cloud as part of RISE with SAP.

Amazon鈥檚 Project Kuiper Selects RISE with SAP

Amazon companies, including Twitch, Zappos.com and Zoox Inc., already use 51风流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 51风流to support its complex supply chain and manufacturing operations and get the best performance and most value out of its mission-critical 51风流software. Running 51风流solutions on AWS allows Kuiper to take advantage of the latest 51风流capabilities embedded in RISE with 51风流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 51风流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 51风流and AWS partnership, tune in to the , June 3-5, in Orlando.

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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

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Gaming is something that keeps inspiring me. I鈥檓 amazed by the speed, accuracy, and level of concentration of professional players. It鈥檚 impressive how this industry has evolved and grown over just a couple of decades.

Team Liquid commands an imposing presence in the esports world, boasting over 160 professional players across more than 15 different games and a staggering fan base of over 10 million followers on various social media platforms. With more than 75 premier events won, Team Liquid is one of the most successful organizations in competitive gaming.

The game with the highest viewership and extensive fandom is League of Legends. Team Liquid successfully competes with their League of Legends team, which recently won the League of Legends Championship Series (LCS) 2024 Spring tournament.

In League of Legends, the goal is to create a strong and balanced team consisting of five characters, called “champions,” in order to outplay and outsmart the opponents during the game by being one step ahead of competition.

Teams participate in a pre-game draft process to select champions before a match. This involves banning and picking champions from a pool of 166 choices to create a strong team.

Champions are the in-game figures controlled by each player. Each champion has particular skills and areas in which they excel. Putting the champions together allows the team to play in various strategic directions to win the match.

After choosing five champions (鈥減ick鈥�), each team is also allowed to remove five champions from the pool (鈥渂an鈥�). Those players cannot be picked by either side. This can be utilized to remove specific parts that would otherwise counter a strategy or hinder the other team from playing their favorite style and/or composition.

Esports teams and their analysts need to prepare for the draft process, as it requires knowledge of the opponent’s favorite picks and strategies. Imagine a five-a-side dodgeball match, but before the match begins, the five players from each team draw their champions from a pool of 166 individual champions.

With bi-weekly updates to the game (鈥減atches鈥�), especially affecting the champions as well as indirectly teams practicing and developing new strategies, competitive League of Legends is an ever-changing game. It creates the need to constantly adapt your draft to a new environment, to analyze both your own and the opposing team’s behavior.

Furthermore, the nature of the draft process and the varying strategies of opponents make accurate predictions difficult. Esports teams have only a week to prepare for the game and gather knowledge about the other team鈥檚 favorite champion picks, strengths, and weaknesses.

Previously, Team Liquid coaches prepared draft scenarios based on manual analysis of the opponent team鈥檚 draft behaviors and champion preferences. However, the challenge was that manual analysis is done before the draft, with the best potential pick or ban changes based on the decisions of the other team. Additionally, the sheer number of potential matches to choose from and the different strategies employed by opponent teams make manual draft prediction very difficult.

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51风流Helps Change the Game

What if Team Liquid could analyze in seconds the best choice for upcoming drafts, including picks and bans, while considering more than 6,000 professional esports matches from the past year? What if the analysis would also consider the impact of game patches from the publishers by taking an additional 1.6 million amateur matches into account to assess changes in the power attributes and strengths of the champions? With SAP, this is now a reality.

By using 51风流AI Core to train a generative AI model that takes data from past matches and puts them into context of the upcoming game, Team Liquid gets suggestions of the best draft picks and bans to maximize the chances to win.

The solution is built on 51风流Business Technology Platform (51风流BTP), and the data is stored in 51风流HANA Cloud to cope with the 1.6 terabyte game data from past games. The result is an intelligent draft bot training, an application that runs on 51风流BTP, visualizes the predictions, and provides Team Liquid with the current winning probability after each pick and ban.

Manual Analysis Is a Thing of the Past

With the AI draft bot, Team Liquid can train for draft situations against any professional team they face in a matter of seconds. This is achieved by incorporating multiple influencing factors based on an unprecedented number of matches. The coaches and players benefit from the opportunity to conduct what-if analyses and derive valuable knowledge from the data to simulate new strategies. This is also reflected in the time saved compared to the previous manual analysis: Team Liquid saves approximately 10,000 hours per year per year with the solutions from SAP.

Relying on 51风流BTP and 51风流HANA Cloud, 51风流Business AI provides Team Liquid with the opportunity to further improve their game by leveraging data to make more informed decisions. Here is where fun and business meet.

This is how the power of business AI is made tangible in a perfect way — not just for gamers.

Philipp Herzig is chief artificial intelligence officer of SAP.